What kind of projects should I put on resume for Data Science?

The following steps are key features to get an impression for a recruiter to schedule an interview :-

  • Short notes on yourself and objective with a statement of purpose to join in a company.
  • Understand where you are strongly interested in domain and technology. For example, E- commerce website and if you are applying for a data scientist role you must showcase your work in text analytics and NLP. Moreover, proof of concept(PoC) adds value to your resume.
  • Add a couple of skills and extra curricular activities that you participate or attend or achieved so that the recruit will understand you are an active learner.
  • Publish some blogs, write it in Quora or Medium etc in such a way you are showcasing technology wise as well documented what you did.
  • Understanding business needs and ask them question while interviews with leaders or CTO.

Some of the best projects to showcase in your resume :-

  • Sentiment Analysis
  • Time series forecasting
  • Face and voice recognition
  • Predictive analytics
  • Fraud or fake detection
  • Chat bots
  • Price or Trading analysis Predictions
  • Image captioning
  • Pose Detection

How to write projects in resume :-

  • Now, It’s time to understand how to write for projects in a resume. One way to include projects in your resume is to “highlight” them in your work experience section.
  • Give it the title “Key Projects” and add it as the last section of your resume, after your skills section.Write a single sentence showing off an impressive project win.
  • Use the PAR formula, action words and accomplishment statements when presenting your project management skills.
  • Mention the job title and employer you had at the time.
  • Avoid including irrelevant experience to beef up your document (especially if it means going farther back on your resume than 10–15 years).



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