Cv Format Template: Fill & Download for Free

There are many (I'd say, infinite) formats available for CV of a Mechanical Engineer. But here I will emphasis on one format that one of my senior (currently Stanford Uni.) suggested me.I have seen his CV. At least I can't achieve that far. But I took on his advice and his format, which the best I have got so far.We know that any interviewer or HR person only takes 1 to 2 min of his/her time to go thru our CV, so in this time you have to build your impression and for that format and content is very important. If you put some crap or irrelevant information, you will have a hard time convincing them for job. So first follow KISS principle.So for us projects and internships matters. If you have done some good projects, or you have gone through some good internships, put that first, emphasis on that more. From projects, the interviewers will measure you, on technical side especially. You will have many things to discuss from your side, the work you have done, your experiences, the difficulties/hurdles that you faced etc.For extra activity, FSAE/BAJA are the best options. These activities teach you many things at competitive level. Your CV will stand out from others if you have included these activities. Also seminars, workshops, STTPs ,competitions and conferences can be added.And last don't use MS word. It's common nowadays. Instead use LaTeX. It's the best option available as far as I know.Use this website to create your CV, there are many templates available, and it uses LaTex:Résumé / CV Templates, Examples and Articles on OverleafSome examples of CV:https://www.overleaf.com/articles/akshay-vaishnavs-cv/wxgwsmpxnnxm#.V2KoxfnhXqAMahesh Gaikwad's CV - Article Published on OverleafMahesh Gaikwad's CV - Article Published on OverleafMore suggestions from you guys are also welcomed.All the BestAkshay.

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There are two steps to landing any job that is in huge demand: acquiring the core skills AND standing out from the crowd.This applies to data scientists as well. This might sound simple and obvious, but in reality, most people don’t go out of their way to do justice to both of these. I’ve seen a lot of people with great potential who don’t do enough to differentiate themselves from the crowd, and hence settle for the suboptimal.For details on the core skills to get a job in data science, check this answer.Here, I’ll share 5 things to stand out from the crowd in data scientist interviews:Photo by Radu Florin on Unsplash1. Read, write and get conversant with dataOne must look beyond the syllabus of analytics courses. It’s critical to gain breadth in analytics, in addition to depth in a few core techniques. Explore blogs, books, podcasts or videos, and get hooked to data content. Information is in over-abundance today, it is time and interest that’s in short supply.2. Execute your own data projectsOne can almost identify the finishing school by looking at templatized ‘live projects’ on candidate CVs. It’s insincere to not back passion for data with a personal project, even if rudimentary. An imperfect solution to a personal data project is far more compelling than a perfect answer to a paid live project.3. Display your wares in publicAspirants who bottle their competence to the confines of a CV or a staid LinkedIn page are just chaining themselves in broad daylight. Put up your code on Github, show your technical competence on Stackoverflow. Show your thought leadership in data science by penning blogs on Medium.4. Get competitive with data scientistsToday when corporate hiring is moving to hackathons and coding contests, anyone who hasn’t dabbled with Kaggle & the like looks like a time traveller from the dotcom era. There is no better way to learn than by applying. Connect with people, compete in teams and hustle with data scientists to learn and network.5. Start to see (eat, sleep and dream) data in everything you doThink up use cases and put data to some fun use. Whether it’s by extracting data from phones and fitness trackers, or downloading data that we’ve liberally donated to Google, Facebook or Linkedin, take these for a spin using your newfound data skills. These tidbits can make spectacular stories in an interview.In reality, nothing really sets most candidate resumes apart from the thousands that apply for the position, everyday. So, the one thing that you can do differently to stand out from the crowd and easily get noticed is to show a raw passion for data. And the shortcut to demonstrating a strong passion in analytics is to cultivate some genuine interest in data.If you found this relevant, you could check out the full article here.Thanks for the A2A.