How to Format a Modern, Visually-Appealing Resume

How to Format a Modern, Visually-Appealing ResumeHow to Format a Modern, Visually-Appealing ResumeHow to Format a Modern, Visually Appealing ResumeHere are some tips on how to format a modern and visually-appealing resume and stand out from the job-search crowd.Are you putting together your resume? To begin, youll want to gather the following information employer names, educational history, volunteerism, professional engagement, and transferable skills. Unsure of how to proceed with formatting from there? Start by Googling templates or reviewing friends documents. You may then realize that there are unlimited options for how to format a resume.No matter the format you choose, keep these tips in mind when taking the first steps towards creating your resume especially one with a modern and visually-appealing look.Add a professional summaryWhen creating a resume, this 35 line section should be placed immediately following the header/contact information. This short summary is an introdu ction to you as the candidate while focusing on how you can help the employer. By adding this, you are immediately showcasing what talents and abilities you can bring to the table.Be conciseBelieve it or not, adults have short attention spans. In fact, if they landsee large, bulky, and never-ending paragraphs, they are less likely to read the information and that information is important When deciding how to format the information on your resume, put each phrase into bullet points.Highlight the important informationEven if your information is in bullet format, it may still be difficult to quickly identify the pertinent skills and accomplishments that are important to the potential employer. If a bullet contains an impressive award or measurable accomplishment that illustrates your qualifications, then draw attention to this detail by bolding the text.This type of strategic highlighting is illustrated below. While both phrases contain the same information, someone quickly scanning y our resume will go to the bold information and note that you were exceptional at sales in this position.Previous VersionBoosted sales by 83% within six months through effective target marketing, in-person sales meetings, consistent follow-up strategies, and kollektiv collaborations.New VersionBoosted sales by 83% within six months through effective target marketing, in-person sales meetings, consistent follow-up strategies, and team collaborations.Utilize quantitative information whenever possibleOur minds automatically respond to numbers, percentages, and dollar signs. Rather than using words to describe these achievements, use numbers and symbols. Whatever you can do as an applicant to keep the eyes on your document means that you have a better chance of being noticed.Related Words and Phrases to Remove From Your Resume Right AwayUse clear section headingsMost resumes will have similar components a professional summary, areas of expertise, professional experience, education, and v olunteerism. When deciding how to format a resume, remember that these headings must be definitive and must stand out amidst the other text in the document. Dont be afraid to use a shaded box, bold text, and white-space around each heading.Create white-spaceToo much text is overwhelming to the reader and may even stop a potential employer from reviewing your information. Each page of the resume should have sufficient white space around all four sides of the document. Also, be sure not to push the margins to the edge. If and when a person prints the document, you want to make sure there are no technical challenges.Use common fontsWhile script may be a beautiful choice for handwriting and Comic Sans may be appropriate for your childs birthday invitation, they arent appropriate for a resume. In fact, applicant tracking systems (ATS) can have difficulty reading these fonts. In addition, a human being may not find these fonts as easy to read. Instead, stick with common fonts such as Camb ria, Calibri, Arial, or Times New Roman.Remember, creating a resume that catches eyes in todays marketplace is vital to your job-search success. After you create your document, send it to a trusted colleague or business partner for advice. Ensuring that your resume is visually appealing will bring you one step closer to your future career successClick on the following link for more resume advice.Not sure if your resume is grabbing the right attention? Utilize our free, objective resume review to see if your resume is visually appealing enoughRecommended Reading11 Steps to Writing the Perfect ResumeWhy a Simple Resume Layout is a Successful Resume10 Powerful Changes for Your Senior-Level Resume

A Sensor to Breathe Easier

A Sensor to Breathe Easier A Sensor to Breathe Easier A Sensor to Breathe EasierKevin Hart, CEO and founder of Canada-based company Tzoa, was an electrician who was concerned about the effects of carcinogens, such as dust in the air. He realized there was a disconnect between what people could perceive and what was threatening to them. I was looking for a solution for myself and couldnt find it and saw an entrepreneurial path, he says. I saw a challenge to myself and saw toxins are bedrngnis just in industrial sites but many homes around the world. The technology that was existing to combat a lot of this to me was big and expensive. I thought there must be something people could have.He says the main proprietary sensor of the Enviro-Tracker picks up PM2.5, among the most dangerous pollutants in the environment. Its particulate matter in the air. It can get into lungs and create long-term damage and aggravates people even in terms of cardiovascular issues, he says. Theres also VOC, wh ich is total volatile organic compound and its another particulate type that is an enemy.The tracker data streams onto a smartphone app. Image TzoaThere are several components to the sensor that he can talk about as they are not proprietary. There is an airflow channel. Air is brought in through an inlet and pushed out through an outlet, he says. In the channel is a detector that detects light and the channel is occluded from the sun. Theres a separate channel that crosses in an X. Thats what the optical emitter lives in, a visible laser that goes from one part of an X to the opposite end of one channel, into a beam dump, meaning it gets rid of the laser.The first prototype was four inches by four inches but now the model is the size of a large Oreo cookie, he says.There have been multiple iterations of the technology. With the first generation, the team realized that the technology became contaminated quickly. Imagine an air stream and biomass burning with gunk sticking to the air channel, and the sensor becomes inaccurate, he says.The device, which comes in both wearable and portable formats, is slated to talk to your phone and let you know, not unlike traffic apps, what to avoid environmental problems instead of a pile-up on your local highway.Theres also the thought in the future of the connected element of understanding, of where you are or what situation youre in. If in a home or building, this sensor data could automate your surroundings, might turn on an air purifier for you, et cetera. Also, if you have a debilitating condition like asthma or COPD, you could have an analytics component for an additional service. If you have exacerbation of asthma multiple times, then highlight when its occurred and look at pollution in a moment in a past day. We can look at the environmental context where there was an acute system and look at the common thread or trend and then predict what it was.Theres a crowdsource element concept slated as well. A cyclist could po ssibly benefit greatly. Data you collect talks to data others collect, he says. Visualized on the map so cyclists will share their data and build the pollution routes. Trying to get from Point A to Point B when cycling to work, taking into account if there is high combustion from car engines and more. This could help.The Enviro-Tracker has done smaller beta testing and a large production launch is slated to happen in 2017. We want to make lives healthier, Hart says. We just dont always know whats around us.Eric Butterman is an independent writer. For Further Discussion We want to make lives healthier. We just dont always know whats around us. Kevin Hart, CEO, Tzoa

6 life lessons I learned from working in the hospitality industry

6 life lessons I learned from working in the hospitality industry6 life lessons I learned from working in the hospitality industryWhen was the last time you stood at a to-go counter, looking at 30+ boxes of warm food that need to be packed up five minutes ago?Behind you, a stranger is tapping you on the back, asking for an extra side of ranch. An impatient mother looks at you from thirty feet away- she is still waiting on that highchair you promised ninety seconds ago.You have about five entrees to fire on the POS, but you cant get over to the screen.Oh, and youve had to pee for about three hours now.How do you even begin to prioritize what comes next? You just do. Thats the terror and the beauty of the business.Welcome to hospitality. We can seat you once your entire party is here.Lessons from the hospitality industryWorking in hospitality teaches you skills you could notlage learn anywhere else. It teaches you about prioritization, about swiftdicke bretter bohren mssen-solving, abo utcommunication, about humility, and about how people act when theyre seriously hungry- like monsters- and how to keep a smile on your face despite that.You can be the valedictorian of your high school class, you can graduate magna cum laude from an esteemed university, and you can earn your Masters degree from yet another esteemed institution, but you will never learn what you can from a night on the line at a busy restaurant.If it were up to me (it isnt) everybody would be required to work at least a year in the hospitality industry- maybe making complicated coffees at Starbucks and invariably being yelled at by a guy named Brock.Itbuilds your characterin a way no post-graduate degree can, in a way no C-level executive job can.Its about people- each and every type of part.Working in hospitality means truly working with a team to get through a rough shift. It means interacting with customers you may never have met otherwise. Its gathering stories you would never have heard. Itsbuil ding empathyfor people who seem rough on the surface.Rather than writing off the old lady who always wants her soup piping hot, maybe ask her how her day was. Because maybe youre the only person she talks to today.In short, working in hospitality teaches youreal-life soft skillsthat you will carry through your entire life. You will have great experiences and you will have bad ones.You will probably cry mid-shift (I know I have.) Heres a few I took away from my time sweating through a challenging weekend night shift.How to prioritize + multitaskIf youve worked a busy Saturday night, you learn something about prioritization. Youre 86 chicken, the wait list is 40 people deep, you have 30 to-go orders for 30 separate Postmates cyclists who are forming a circle around you, and, oh yeah, you actually have to wait tables, too.Working in the hospitality industry creates apressure cooker. When youre in it, you sort of snap into motion. You intuit exactly what needs to be done, when, and in w hat order of importance.Before you know it, its 1145 p.m. and (almost) everyone has vacated the restaurant- except for that one couple on their first Tinder date. Theyre really hitting it offI cant really explain how you know what to do, you just do. Its like a dance. Youre learning the moves on the fly, but you flow through it. When you come out the other side, you realize you did it. Not only that, but you have a pocket full of singles to show that you did it.Proactively problem-solveGuess what happens every day at a restaurant? Problems. Whether its the bathroom overflowing into the dining room, someone no-call-no-showing, or a deeply unhappy customer, problems happen- often all at once.An enormous life skill you learn at a restaurant is how tosolve problems on the spot. Often, you do not have the time to ask for backup or additional guidance. Instead, you need to find a solution, and quickProblem-solving skills will come into play no matter what career path you choose. Some prob lems are easier to navigate. If someone doesnt like their food, you can offer them the chance to reorder. However, there are trickier problems.Personally, the waitlist was always a problem in the busy restaurant I worked in. The waitlist was a purgatorial home to some of the angriest people Ive ever encountered.In order to squash potential problems, I alwaysover-communicatedthe wait situation- with a smile and a little commiseration, I know the wait is long and being hungry is the worst, but it will be worth itPractice patienceThat brings me to the next life skill I learned in hospitality. Patience. Classically speaking, I didnt have much in the way of patience. However, like many things in the hospitality business, you either learn to be patient, or you get out.Patience occurs table-side when you have to wait for someone who claimed they were ready to order, but they are clearly still reading the entire menu.Patience occurs when you encounter someone withsevere allergiesand you are painstakingly careful to make sure no cross-contamination occurs anywhere.Patience happens when a toddler is running around a busy restaurant while his parents are blissfully unaware of his entire existence. Patience is necessary when a party of 18 walks in seven minutes before closing.These are a few examples of situations that require extra care, extra work, and extra patience. This is also what separates you from a good worker and makes you a great worker.Be warned that when you put in the extra care and patient touch, it will often go unrecognized. But Sometimes, a person will stop you for a moment and thank you for the extra effort- and that makes it all worth it.Always have empathyEmpathy is a big one. You learn a ton of empathy in hospitality. There are two kinds of empathy I think you learn- directed toward your coworkers (who become close to family) and directed towards customers.When youre in the middle of a busy shift with your coworkers, you might want to yell expletive s at them, throw dishes at them, or just exile them from your life altogether. Once you clock out, though, its usually all hugs andpost-work decompression.One of the more fascinating aspects of working in hospitality is the scope of people. On one staff, you are likely to have a diverse range of ethnicities, ages, and personalities. Someone you may never have met otherwise might suddenly be serving as your work mom.Like it or not, you will learn an incredible number of life lessons from your coworkers.Another target of your empathy will be customers. What might seem on the surface like a grumpy, nit-picky guy- well, he might actually be a lonely person trying to engage in the only way he knows how- for better or worse.Empathy is huge in hospitality. Sometimes, you have to take a moment (when you dont have a moment to spare) in order to really consider someone who you might otherwise write off as a jerk.Respect everyoneA majorly important life skill you will learn from hospitality is respect. Unfortunately, you might learn it the hard way. As a server, a busser, a host, a cleaner, a cook, or a manager, you will experience people who are rude. Sometimes, these people are seemingly rude for sport.If youve ever been yelled at for an inaccurate order, a long wait, or other elements out of your control, you will gather real-life experience of that golden rule.Working in the hospitality industry gives you insights into the people you see every day. Remember - you never knowwhat someone is going through, so give them the benefit of the doubt. Treat people kindly, with care, and with respect.If none of this is resonating with you, I challenge you with this. Next time youre in a busy restaurant and you really, really want to complain, take a look around instead. Is anyone sitting around doing nothing? Is your server leaning up on the bar texting a friend? Probably not.What youll likely see is a staff running around, getting as much done as they possibly can. Instead of complaining, give a thank you for the hard, (usually) thankless work they are doing to get some bowtie pasta in your belly. And always tip- which brings me to my next point.Tip for serviceOkay, this one may be specific, but bear with me. If you have worked in hospitality- whether it be a restaurant, a coffee shop, or a hotel- you will understand the value of a tip. And guess what? Youre probably not going to miss that dollar- especially if you just spent $5 on a single coffee.When you have a nice dinner, tip. When you order tacos from a taco truck, tip. When a valet brings your car back to you, tip. When your Lyft driver offers you a piece of gum to keep your ears from popping on the way to the airport, tip.See the trend here? Tip.If you know the value of hard people-facing work- of getting up every damn day and putting on a smile through heartbreak, through financial turmoil, through sickness- then you know that its always going to be worth it.Dig deeper into your pockets and help out your friendly server. Its the right thing to do.This article first appeared on Career Contessa.

Data Scientist Resume 2019 Guide to Data Science Resume [Samples]

Data Scientist Resume 2019 Guide to Data Science Resume SamplesData Scientist Resume 2019 Guide to Data Science Resume Samples650%.Thats how much the demand for data scientists has grown since 2012. In the US alone, there are roughly 35,000 people skilled in data science, with hundreds of companies lining up to hire them.According to LinkedIns 2017 U.S. Emerging Jobs Report, data scientist has been ranked second in its Top 20 List of Emerging Jobs, with a 6.5x jump in growth in the 2012-2017 period, right behind Machine Learning Engineer.With such astronomical growth in the demand for this role, youd think bagging a data scientist role would be a piece of cake.Well, think harder.How do you think youd go about getting a data science job? You think you just need to get a certification and youre done?Well, theres one tiny step missing in that trajectory. The data science resume.That singular piece of document which will make or break your chances of getting shortlisted. You might be abl e to process hundreds of TBs of data for gleaning valuable insights, but if your machine learning resume lacks the punch, itll all be for bedrngnislagehing.Fret not. The experts at Hiration have made hundreds of data science resumes, and weve helped professionals land those high-paying gigs you read about in Amazon and Google. So trust us when we say that we know what were talking about.Our 2019 Guide to Data Scientist Resume willShow you how to prepare a machine learning resume that will get you shortlistedNuances of a data science resumesDos and Donts of a data science resumeSections of a machine learning resumeData Scientist Resume Samples, Data Scientist Resume Examples Ready-to-use Resume Templates to get you startedOur in-house resume experts have created a state-of-the-art online resume builder containing ready-to-use content templates and ATS-friendly resume designs to give you an edge over othersDont believe us? Try it for yourselfOur 2019 Guide to Data Scientist Resumes w ill broadly talk about the followingLook at the below-given data science resume sample to binnenlandsee how a finished data scientist resume looks likeWhy Do You Need a Data Scientist Resume?Now that you broadly understand the demand for data scientists, and how its only set to go up in the next 5-10 years, lets talk about data science resumes.Youd think that with such an incredible demand, all you need to do is just walk in and youll be greeted with open arms, right?Well.Heres the thing. Data is the new currency. Most companies realized it before it became a buzzword. And data scientists (along with ML/AI professionals) are going to rule the job market in the foreseeable future.And you know that? Data scientists know it all too well.It doesnt matter if youre a startup selling dog footwear or a Fortune 500 company. Companies know that theres no growth if theres no data. They know that without data, theres only so much they can do. But with data...well that changes things.Online cour ses decided to join the bandwagon when data scientists became the new rockstars. Suddenly, the world welches flooded with online courses that promised the stuff of dreams. You know $200k salary, benefits, remote work - the whole extravaganza. So who in their right minds wouldnt want a piece of that?Before anyone could figure out what was happening, suddenly everyone was a data scientist. All you had to do was sit at home and complete the course in a few months...and bam Youre a data science professional.While the demand is rising as we speak, the market has been flooded with data science professionals, with only a few certifications in their anthroponym. These online courses aya add a lot of value, but the recruiters now have a new problem how to sift through all the applicants and filter out the best ones?Thats where your machine learning resume comes in. A data scientist resume is an opportunity for the applicant to stand out from the crowd, to convince the recruiter that they off er more to the table than just their certifications.A data science resume will give the recruiter an idea around your qualifications - whether you only have a few projects under your belt or whether you know your way around data.Now that we know the importance of a machine learning resume, lets waste no further time and dive into the nitty-gritty of a resume for data science. Additionally, youll find data scientist resume sample in the end to provide further clarity on how a final data scientist resume should look like.Data Scientist Resume - Best Resume Format for a Data Scientist ResumeWhen it comes to the format for a data science resume, what all options do you have?Broadly speaking, you have three. Lets talk about the pros and cons of each.Reverse Chronological Resume FormatThe most conventional resume format in the market, and a darling of the recruiters, the reverse chronological resume format is the best bet for a data scientist resume.As the name suggests, this resume forma t entails listing out all your experiences and qualifications in reverse chronological order. This means listing out your most recent qualification/experience first, followed by the previous ones, till you reach the beginning of your trajectory.Sections in a Reverse Chronological Resume FormatA data scientist resume in a reverse chronological resume format contains the following sectionsHeaderPersonal DetailsTitleProfessional SummaryTechnical SkillsKey SkillsProfessional ExperienceEducationCertification, Conferences, and PublicationsAdditional InformationIts always better to keep the target profile in mind when youre sending across your data scientist resume.Pros and Cons of a Reverse Chronological Resume FormatWhile the reverse chronological resume format is the most preferred resume format, its important to understand if itd be suitable for you as an applicant or not.Below are the benefits of going for a reverse chronological resume format.ATS OptimizedThe reverse chronological re sume format is ATS-friendly and is the industry standard when it comes to resumes. Going for this format will guarantee that your resume is effectively parsed by an ATS.Preferred by RecruitersSince the ATS is able to effectively parse resumes in the reverse chronological format, it is preferred by recruiters as well. This format allows the hiring managers to quickly scan the resume for information which they think is most relevant, thus saving a lot of valuable time.Ease of PreparationIf you are a data scientist making your resume for the first time, or if resume writing is not your most preferred way of spending time (trust us, we understand), you can simply opt for a reverse chronological resume format.All you need to do is create a timeline of your professional trajectory and expand each item in your resume.Prioritizing your most recent work experienceItd be very rare if you land a data scientist gig right out of college. Usually, a data scientist requires a certain level of expe rience. You dont necessarily need an IT background for pursuing data science as a career.But you dont want the recruiter to go through your earlier profiles. What do you do then?Enter the reverse chronological resume format. This format allows you to put more emphasis on your most recent work profile. Consequently, your earlier roles (which are not related to your target profile) will be sidelined in place of your most recent professional profiles.These were the benefits of going for a reverse chronological resume format. But in what all cases is it not applicable? Lets find out.Gaps in your careerIf there are gaps in the professional trajectory, this resume format will make it evident to the recruiter. Since the dates are mentioned for every qualification and experience, not only will the recruiter notice that, but the ATS might also disqualify you (in case you lack the required work experience).Frequent job switchesIf there are a lot of companies across a limited time frame, this might send a signal that you are an unstable employee who might not stick around for long.Functional Resume FormatAt the other end of the spectrum lies the functional resume format. Here, only the professional headers are mentioned, without diving into the details of each work profile.Instead, a separate section is created along the lines of Summary of Skills, wherein the relevant points are grouped under the appropriate skills.To clarify, the experts at Hiration dont particularly recommend this resume format. That being said, this resume format is ideal for those who have a lot of gaps in their professional trajectory, or those who have a history of frequently switching jobs.Following are the pros and cons of using the functional resume formatPROSCovers employment gapsSince this resume format focuses on skills over the actual professional trajectory, this format is suitable for those professionals who have a lot of gap in their career.Addresses the issue of job switchesThe emphasis on skills allows the applicant to put the focus on skills, thus allowing the recruiter to gloss over the factor of frequently switching jobs.CONSNot ATS-friendlyThe functional resume format is notSuspicious to recruitersNo focus on the trajectoryCombination (Hybrid) Resume FormatThe combination resume format or the hybrid resume format is a combination of both reverse chronological resume and the functional resume.The first half of the combination resume is written using the functional format. So, the first half of the combination resume focuses and highlights a persons skills and accomplishments.The second of the combination resume is written in the reverse chronological order, which means, the professional history of a person is written in the reverse chronological order.PROSProvides the information in reverse chronological orderHighlights the skillsCONSConsume more timeMight not comply with company-specified guidelinesWriting Your Data Scientist ResumeWeve divided the data scien ce resume into three stages to make the data scientist resume making the process simpler. These three stages areMaster Machine Learning ResumeFirst Draft Data Scientist Resume andFinal Data Science ResumeMaster Data Scientist Resume Making the master data science resume is the proprietary method used by experts at Hiration.This makes the data scientist resume making process easier going forward. A master machine learning resume basically has all the information, and by that, we mean every single thing that you can think of adding in a data scientist resume.It is of a lot of help even in the future, when you need to update your recent data science resume in case of a job change or career change.A machine learning resume is supposed to be of 2 pages at max, but since a master data science resume contains every little detail about your career, so it can exceed to as many pages as it takes to put all that information in it.Then later in the data scientist resume making process, you can pick up the most important and valuable information from the master data science resume to make your final machine learning resume.But at the master data science resume stage, you dont have to decide what all information will go in the final data scientist resume and which will not.The idea of a master machine learning resume is just to collect all the information at a single place.For example, if you are responsible for the following duties, sayBuilding and optimizing classifiersData miningEnhancing data collectionData processingConducting ad-hoc analysisCreating automated anomaly detection systemsNow, if you directly jump on making a final data scientist resume, there are high chances that you might forget to include some of the duties which you performed.In such a case, master data science resume will help you as it will be having all of the duties and responsibilities which you performed throughout your tenure in that company.The master machine learning resume works like an outl ine of your final data science resume. So, since you already have all the information related to your data scientist resume there in the master machine learning resume, you can tweak your final data scientist resume according to the information in the master data science resume.This process of making a machine learning resume will ensure to get you more interviews than you expect that you can get.After youve compiled all the information in the master data science resume, you will start off with making your professional experience section.First Draft for your Data Scientist Resume In this stage, you will make the sections of the header, personal information, title, education, certifications, conferences, and publications as well as the section of additional information.Hiration Pro-Tip After making your master machine learning resume, do save a copy of it. It will be of a lot of help in the future when youll need to update your data scientist resume as you change your career or switc h to a new job.Final Data Scientist Resume In this stage, you need to do the following three thingsFirst, draft the skills section.Pick out all the skills that you acquire from your professional experience section and the job description, then write them in the key skills section of your machine learning resume.Second, compose your data scientist resume summary/data scientist resume objective section.Look for the points that are the highlight of your career in your professional experience section and write them in the data scientist resume summary/data scientist resume objective section of your data science resume by rephrasing them a little.Hiration Pro-Tip Professionals with 3+ years of experience will make a data scientist resume summary section, whereas, entry-level professionals will make a data scientist objective section.Third, highlight and bold all the important words, phrases and numbers in the sections of professional experience, certifications, conferences and publicatio ns as well as the additional information section.Now, let us see in detail, how to write each section.Data Scientist Resume Professional Experience SectionA professional experience section includes all the professional work that one has done in his/her career.This section holds a lot of importance for those professionals who have extensive career history.Use the below given format to write the professional experience section of your data science resumeDesignation Organization Location (city, country pin) Dates (month year)Framing points in your Data Scientist Resume Professional Experience sectionThe above-given format will be followed by cause-effect points. Most people are able to tell what they did as Data Scientists, but they are unable to explain the impact that their work had on the business.So, thats when cause-effect points come in. Cause-effect points are what demonstrates the impact of a persons works on the business. Let us see how to write the cause-effect points wit h the help of data science resume examples.Data Scientist Resume Example 1Steering rapid model creation in PythonBuilt dynamic pricing modelsCreating NLP modelsleuchtdiode the development of a wertzuwachs assessment pricing analysis platformDeploying ridge regression model LASSO solver to select the regularization parametersCreated multivariate regression based attribution modelsThe points in data science resume example one doesnt have the method of cause-effect used in them, hence they dont provide much information and the impact that the person had on the business.Data Scientist Resume Example 2Steering rapid model creation in Python using Pandas, NumPy, SciKit-Learn plot.ly for data visualizationApplied various machine learning techniques to build dynamic pricing models and maximize profitabilityCreating NLP models for Sentiment Analysis MapReduce modules for predictive analytics in Hadoop on AWSLed the development of a performance assessment pricing analysis platform by dep loying k-NN AlgorithmDeploying ridge regression model LASSO solver via gradient descent to select the regularization parametersCreated multivariate regression based attribution models using ad stock analysis from the digital marketing dataNow, by seeing data science resume example 2, you can see how using the cause-effect method to write the data science resume points is providing much more information around the impact that your work had on the business.Bucketing/Grouping your Points in your Data Scientist Professional Experience sectionThe other elements that help bring out the best in cause-effect points are bucketing and bolding.Let us now see with the help of data scientist resume examples, how bucketing and bolding makes a difference in the machine learning resume points.Data Science Resume Example 1Steering rapid model creation in Python using Pandas, NumPy, SciKit-Learn plot.ly for data visualizationApplied various machine learning techniques to build dynamic pricing model s and maximize profitabilityCreating NLP models for Sentiment Analysis MapReduce modules for predictive analytics in Hadoop on AWSLed the development of a performance assessment pricing analysis platform by deploying k-NN AlgorithmDeploying ridge regression model LASSO solver via gradient descent to select the regularization parametersCreated multivariate regression based attribution models using ad stock analysis from the digital marketing dataThere is no use of bucketing and bolding in the points of data scientist resume example 1, which help in increasing the readability of the content.Data Science Resume Example 2Data Visualization Predictive AnalyticsSteering rapid model creation in Python using Pandas, NumPy, SciKit-Learn plot.ly for data visualizationCreating NLP models for Sentiment Analysis MapReduce modules for predictive analytics in Hadoop on AWSDeploying ridge regression model LASSO solver via gradient descent to select the regularization parametersStatistical Mo deling ML AlgorithmsApplied various machine learning techniques to build dynamic pricing models and maximize profitabilityLed the development of a performance assessment pricing analysis platform by deploying k-NN AlgorithmCreated multivariate regression based attribution models using ad stock analysis from the digital marketing dataIn data scientist resume example 2, we have made buckets of the skills used in doing the work as well as have grouped the points of works in which the same skills are being used.Like weve made the bucket of Data Visualization Predictive Analytics and have written all the points pertaining to these skills under that bucket.Same goes for the bucket of Statistical Modeling ML Algorithms.Look at the data science resume example below to see how a professional experience section should look like.Data Scientist Resume For FreshersAs freshers in the field of data science do not have relevant experience, they cant make a professional experience as they wont h ave anything to write in it.So, now the question is What will they make or do?The answer is Internship Section. Yes. Freshers in this field will make an internship section.Internships are when you work in an organization as an intern to gain professional knowledge of your field while still not being a graduate, whereas, a proper job is when you work for an organization after graduating from college.While still in college, students are likely to do a maximum of two internships. These internships help you gain the professional experience and hands-on professional knowledge of the workings of your chosen field. So, that is why the internship section holds a lot of importance in a freshers data scientist resume.Including internships in your machine learning resume will give you the upper hand over the freshers who havent done any internships during their graduation.Having done internships shows the recruiter how serious you are when it comes to your professional life and that they are h iring a professional who takes his/her career seriously.Use the following format to write your internship sectionanthroponym of the Organization Location (city, country pin) Dates (in mm/yy-mm/yy format) DesignationThis section of the internship will also be written using the cause-effect method along with bucketing and bolding as explained in the professional experience section above.Writing Data Scientist Resume HeaderNow, that the master data science resume stage is over, lets proceed with the first draft machine learning resume. abflug off this stage by making the data science resume header.You must be wondering What is a header and why is it important?Well, a header comes at the top of your data scientist resume and it is made up of your name. Making a header ensure that your machine learning resume is being separated from hundreds of other data science resumes that have come in for the same profile.Also, it gives your data science resume an individual identity of its own an d prevents from being misunderstood as someone elses machine learning resume.When writing your data science resume header, make sure that you give a single space between your first name and your last name. Spacing errors like that of double space or no space have a negative impact on recruiters mind. It will portray your carelessness when it comes to small details.If you have a middle name, then write only the first initial of your middle name and then put a full-stop after it. Also, give a single space after the full stop and then write your surname. In addition to this, do not write your nickname in the header. Dont write something like Cara Nitro Delevingne.Just simply write Cara J. Delevigne.When making your data scientist resume header, the ideal size of its text is between 14-16 point size.See the data science resume sample given below to see how an on-point data science resume header should look like.In addition to this, you can instead use Hirations Online Resume Builder to make your data scientist resume and that header absolutely hassle free. Our Online Resume Builder uses a pre-set, fixed font size to make the resume header.Personal Information Section In Your Data Scientist ResumeIn this section, three things are written 1. Personal Mobile Number 2. Personal e-mail-nachricht ID and 3. Current schauplatzPersonal Mobile NumberWrite only one mobile number on which you are available 24x7.Also, there is a proper way in which one needs to write the mobile number. There are certain rules to follow when writing your personal mobile number. You cant just go and scribble down that mobile number of yours.The two rules that you need to follow while writing your mobile number areWrite the International Subscriber Dialing (ISD) code of your country followed by a plus sign (+) before your personal mobile number.Give a single space after the first five digits of your mobile number.Writing only that number on which you are 24x7 available is important as a personal mobile number is the primary source through which a recruiter is likely to contact you.Personal E-mail IDWrite only that e-mail ID in your personal information section which you use most often in case you have multiple e-mail IDs.At this stage of data scientist resume making, you can even add hyperlinks to your social media websites like that of LinkedIn, Facebook, Instagram, etc. and personal websites or portfolios if you have any if they provide any support for the professional work that you have done so far.Also, all the websites need to be up-to-date in terms of information and the information should be consistent across the websites.Hiration Pro-Tip Do not include personal information such as marital status, age, political views, etc. They are not to be mentioned in a data science resume.The e-mail is the second way through which the recruiter might contact you. So, it is important to write only one e-mail ID that you use the most.Current LocationThis is the third thing to incl ude in the personal information section. Here you will write the current location of your residence.When writing the current location of residence, first write the city name followed by the country pin.Take a brief look at the data scientist resume sample below to get a better understanding of how to write the personal information section.Customizing Data Scientist Resume Profile TitleNext in line comes the profile title section.The profile title tells the recruiter the level at which you carry out your job responsibilities and duties. It also gives a broad level idea of your level of proficiency in your field.The title is supposed to be the second largest text in your data scientist resume, written in between the font sizes of 12-14 points.If a machine learning resume is missing a job title, then it is missing a crucial part of the data scientist resume. Hence, it is incomplete. If you send your data science resume without a job title, then it will get difficult for the recruiter t o gauge for which profile youve applied for.Writing a profile title makes the job of the recruiter easy and is a deciding factor for the recruiter to read your machine learning resume further or not.Look at the data science resume sample given below to get a better idea about how a data science resume profile title looks like.Data Scientist Resume Education SectionThe education section is one of the most important sections of the data science resume for a recruiter. It helps the recruiter to decide whether you are eligible for the job or not.Use the following format to write this sectionName of the school/university Location Dates (in mm/yy-mm/yy format)Name of the degree CGPAThe data scientist resume sample provided below will give you a better idea of how to write the education section.Data Scientist Certifications, Conferences And Publications SectionThe second last section to make in the first draft stage is the certifications, conferences and publications section.In this sec tion, you will write all the certifications, conferences and publications that you ever got, attended or got published. Also, these should be those certifications, conferences, and publications that will add some value to your machine learning resume.Use the format given below to write your certifications.Name of Certification Affiliating Institution Location Date (in mm/yy)To write your conferences, use the below-given format.Your Role in the ConferenceTitle or Topic of DiscussionConference/Forum NameDate (in mm/yy) and LocationUse the format given below for writing your publications.Authors Last Name Authors First Name Authors Middle Name or Initial of the Middle NameTitle of Article/ Chapter Name of journal, website, magazine, etc.Year of PublicationPublisher or Issue Number Volume number Page NumbersURL if its an online publicationSee the below-given data scientist resume example to see how the certifications, conferences and publications section should be like.Data Scientist Additional Information SectionThe last section to be made in the first draft stage is the additional information section.In this section, you will write the additional information about the languages that you know. For example If you are fluent in speaking and writing English and Spanish, then you will mention it in this section.Also, you will make this section of additional information only if you know how to speak and write more than one language.To get a more clear idea on how to write this section, look at the data science resume sample given below.Illustrating Your Data Scientist Resume SkillsIn the third stage of making machine learning resume, which is the final draft stage, the first section that you will make is the key skills section.Writing the skills section in the final draft stage will give you more skills to write in your data scientist resume than you thought you have. Before writing your skills section, scan the rest of your data science resume once, throughly, to look for skills.These skills will basically come from scanning the professional experience section.After youre done writing the key skills section, bold the whole section.Look at the below-given data science resume example to see how to write a key skills section.Technical Skills Section of Data Scientist ResumeIf you have skills like that of SciKit-Learn, NumPy or SciPy then do not include them in the key skills section. These are considered to be technical skills, so make a separate section for them named Technical Skills Section. It will be made in the same way that you have made your key skills section.So, just like the key skills section, after youre done making your technical skills section, bold the whole technical skills section and then in addition to it, italicize the whole section as well. Italicizing the whole section will separate it from the rest of the data science resume and will make it more clearly visible.To get a better idea, take a glance at the data scientist r esume sample given below.In addition to this, if you use Hirations Online Resume Builder to make your machine learning resume, then youll have the options of adding bar graphs and pie charts to make your skills section.Look at the data science resume sample given below to see how you can demonstrate your skills using bar graphs and pie charts in your skills section.Personalizing Data Scientist Resume Summary SectionThe data scientist resume summary section is written at the very end of the data science resume making process so that you can refer the rest of the machine learning resume and pick out the points that are the highlight of your career and then add those points in the data scientist resume summary section after rephrasing them a little.You need to use the data scientist resume summary section wisely by telling the recruiter what you can do for the organization by explaining how you used your data scientist skills to benefit the previous organization.Look at the data scient ist resume sample below to see how to optimize your data scientist resume summary section.Furthermore, You can use Hirations Resume Reviewing Service to get your data scientist resume professionally reviewed by the industry experts to check your data science resumes complete consistency.Data Scientist Resume PDFIf you want to have a data scientist resume PDF then you should definitely make your machine learning resume at Hirations Online Resume Builder as after making your data science resume at Hirations Online Resume Builder, you can download unlimited PDFs of your data scientist resume.So, what are you waiting for?Go and make your machine learning resume at Hirations Online Resume Builder NowData Scientist Resume DocIf you want a doc template for your data science resume then opt for Hirations Resume Reviewing Services, where youll get two free machine learning resume doc templates, as well as your data science resume, will be reviewed to match the following parametersReliability (achievements and skills backed with quantifiable values)Cause vs. Effect relationshipReadability (to pass the 6-sec test)Achievement based points over responsibility based pointsATS befolgungCompliance with industry normsGlobal compatibilityPerformance assessment (How well a candidate has performed to get shortlisted)Conversion ScopeDesign CompatibilitySo, opt for Hirations Resume Reviewing Service TodayKey Takeaways For Your Data Scientist ResumeEnsure that your data scientist resume summary does not exceed the limit of 3-4 lines. Write only those points in the data scientist resume summary section which highlights your most distinct skills and achievements across your career.Usually, the data scientist resume summary section is the first section that a recruiter sees. Therefore, it is important that it is crisp and includes only the most important point in it.You can begin the data scientist resume summary by writing the number of experience you hold and then mentioning your fil ed followed by your proficiencies.For example 7+ years experienced data scientist with a passion to solve real-world business challenges using data analytics. Continue in this manner and mention some special hards skills and some achievements that proved your proficiency in the previous organization.Since the space in the data scientist resume summary section is limited, mention only those skills and achievements which really make you stand out from the other applicants. And with this also ensure that the skills and achievements that you write in the data scientist resume summary section are relevant to your target profile.Tailor your professional experience section according to the job description. Make sure to mention the skills written in the job description in your machine learning resume.Also, if you have performed any of the duties written in the job description, then ensure that you write those duties in your professional experience data science resume points.Make the key ski lls section just after your data scientist resume summary, followed by the technical skills section.Making the key skills section is of paramount importance as these days the resumes are first passed through the Applicant Tracking Systems (ATS) and after passing the ATS test, only do they get on the table of the recruiter.The ATS scans the resume for the keywords that are written in the key skills section. If the key skills section will be missing, then your resume will get rejected at the stage of ATS testing itself.Also, only write hard skills in the machine learning resume which you can substantiate in the interview and avoid writing soft skills.Include your key skills across your data scientist resume and not just in the key skills section. Writing keywords throughout the data science resume increases your chances of passing the ATS test.There are chances that the companies in which you have worked previously are not known to the recruiter. So include a one-line description of y our company under the company name in your machine learning resume. In this description, try to sell the company to the recruiter.In this description, you can include some numbers around the number of employees the company had, its revenue, etc. Basically, anything that lets the recruiter know that youve been working for a good company. Do the same for all the companies that youve worked for.Still got more questions around your data scientist resume? Send your questions at teamhiration.com and our data scientist resume experts will get back to you.

The One Thing to Do for Things to Put on Resume

The One Thing to Do for Things to Put on Resume The Hidden Treasure of Things to Put on Resume Be certain to include quantifiable information to truly drive home how valuable you can be to a possible employer. The personal information section of your resume should give all the essential information that is needed for your prospective employer to get in touch with you. You dont need to deliver any personal or private info on your resume. Also, the most significant information within each section ought to be listed first. Life, Death, and Things to Put on Resume Show how much you want to have that job by writing the situations you know they would like to see. Taking the opportunity to work on your resume is essential. Everything in your resume needs to be simple to read and simple to comprehend. You need to do the remaining portion of the work in the interview to have the job. If you previously live close to the businesss office, great One of the greatest strategies to s eparate yourself from the competition is to check at an illustration of what an awful college resume consists of. For instance, if your education history isnt specifically associated with the job, put it toward the conclusion of your resume, behind the info thats linked to the job. For more ideas about how to strengthen your program, take a look at our education and teaching resumes. On the flip side, the moment the work applicant has strong experience, there is not any need to require the academic training any longer and it doesnt need to get mentioned. The point is to not only underline the skills you have that are related to the job which youre applying to, but in plus-rechnen provide your possible employer with a chronological record of the jobs youve held before. Everyone knows that when hunting for work, the very first task youll have to complete for a possible employer is, Send a copy of your resume. If youre targeting work beyond the defense arena, youll need to civilia nize your military language to demonstrate your abilities and experience match the employers needs. Generally speaking, an objective on your resume can be useful if it concisely describes your immediate employment goal, but its not an important element of a successful resume. The resume summary is simply a bridge to have the hiring manager in your experience. You should commit time into each application and make sure that your resume is tailored to every employer and the job which youre applying to. At the moment theres still a possiblity to stick out from the competition being different. Youre going to want to be as concise as possible with your own personal pitch. Note that there might be circumstances when including some of these information demonstrates that youre a superior fit for the job. Instead of simply sticking to explaining your work description, name concrete outcomes, you achieved that are in accordance with the work description. The resume summary will act as the ir sales pitch. Your first two or three seconds of screen time is the point where the employer is likely to make their very first impression of you. What to Expect From Things to Put on Resume? Very good resumes show instead of tell. Once youve reviewed resumes in your field, peruse resumes across fields to know how to vary using action verbs and receive a feel for what makes a potent accomplishment statement. If youre seeking to customize professional, pre-formatted resumes, have a look at our completely free downloadable templates. Infographic resumes are impossible to comprehend, states MacIntyre. Whatever They Told You About Things to Put on Resume Is Dead Wrong...And Heres Why Resumes could be organized in various ways. They can be used for a variety of reasons, but most often they are used to secure new employment.

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4 Questions to Ask Sales Team Candidates - Spark Hire

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