Resume review for Data Scientist roles
Hello. I am currently working as a Data Scientist in a mid level company. I am looking to switch for better opportunities soon. My current role is more analytical and statistical (SQL, EDA, analytics and visualizations). I also do ML related tasks using Python but not on a daily basis. I dont have much experience working with AWS/Azure or Model deployments in general (other than online courses and tutorials). What skills should i be working on to prepare for interviews? Can you please also provide some feedback on my resume? Thanks #data #dataanalytics #datascience TC 135k YOE 2.5
Lol you didn’t anonymise your bio completely
He did, no wonder why Booking.com is struggling!
OSF Healthcare trashing on other companies is wild
If you haven’t deployed a model before, what happens to the models you’ve made?
That’s a good TC for 2.5y exp working for mid level company. Whats your location
Washington DC
Summary useless. Courses useless. Independent projects mostly useless. Points in experience aren't as consistently tied to impact and read incredibly jargony and process oriented. With three years of experience I should come out of this with a better sense of what you're good at. Seek out a mentor who can help you move past DEVELOPED DEVELOPED COLLABOATED DEVELOPED COLLABORATED
Devil's advocate but what other words do you want him to use beside developed or collaborated?
In point one is unclear how the models generate 600k per month; are they saving costs? You don’t have to be too specific but a model on its own doesn’t generate money
Hey I’ve had decent success using GPT to tailor my resume to specific roles and provide general guidance/suggestions to make my bullets more action oriented. Feel free to DM me and I can share what’s worked for me so far. For reference, 5 yoe in DS and strategy
John Doe or Janardhan Diwakar? (Trynna understand what's your US exp). Also include a lot more skills, standardize the use of bold for results. You can cut down on research projects if needed. Don't include coursework, essentially shorten your education section. You can add a summary instead.
That top section does nothing, ever. Get rid of it
Formatting: use present tense for all bullets in current role, move Education section to bottom, rename last section to "Research Projects," be consistent with capitalization in project names, use bullet points instead of paragraphs (if trying to fit on one page, ditch your intro to make space) In your first bullet, your impact doesn't clearly connect to what you did. Deploying your models didn't deliver revenue - they had to enable some other action that led to revenue increasing. What was that other action? Also, generally speaking you would benefit from focusing more on outcomes and critical thinking skills than duties and grunt work, especially if you're trying to present yourself as a Data Scientist (e.g., 4th bullet: predicting customer churn scores is much more interesting to a HM than creating the ETL process).