Data scientist resume review (edited)
Hey I'm looking for data scientist/ analyst roles. Was recently laid off and on STEM OPT so on the clock here. Please give me tips, suggestions and improvements for my resume. Have gotten a couple of interviews here and there using a version of this. I use the same for data analyst roles except change the job titles to data analyst and reword the job bullet points to better suit. Below the education section I have about 6 ML projects based on applications of regression, classification and time series forecasting. Also do let me know if you know any place that's hiring or any info I'd appreciate the help. EDIT: Based on some solid suggestions posted here I re-worked my resume, trying to improve as much as I can. Hopefully this resume iteration is much better. I'd appreciate any suggestions! Changes and improvements: >Layout: added tech and skills at a job-level and a project/ task level too, moved skill section to the bottom just above projects, reduced projects to 3. >Most recent job: added a introduction to give more context to the role and also show that I can do more than model.fit(X,y), elaborated on each of the (3) tasks giving more information and on the task and result, removed the big dollar figure for particular tasks based on feedback >Previous job: removed the RA position as less impact and elaborated on the accomplishments by keeping the end goal in mind. #data #dataanalytics #datascience #tech #resume
Your resume sounds more like doer than achiver. Try to add data about how much impact you made or how much performance gain you achieved. This makes a big difference. Obviously, don't put fake number at all. Prepare yourself well about questions like how you achive d this much gain and what actually helped in achieving this gain and how it is different than other methods.
Thank you, I thought I already had the results of my work at the end of each point. But yeah I added in a few more numbers where I could.
Don’t talk about how many rows of data you queried. Talk about how much money you saved. Show you have buisness accumen. Python monkeys are a dime a dozen
You have supply chain experience, if you're open you should try for roles in supply chain demand planning or supply planning roles. Commodity trading is another area you can try , they need to make physical deliveries and a lot of times freight optimization is a huge part of their problem. So think about any industry that deals with flow - power, oil, transport, mobility. They'd have roles where there would be a decent overlap of skills and you might actually make a lot of impact there versus generic DS roles which now have a fairly low ceiling in terms of career growth.
Got it. I do not have the depth of supply chain as that is a whole different field, but I could look at the industries you mentioned that may benefit from data science in their processes.
What?
<resume states his work directly drove $10m increase in revenue > "where is the impact tho?" - comment OP
tbh id go away with coursework. just seems cluttering and probably gives ATS a hard ass time
Try for contract roles through consulting firms that will at least stop the clock ⏰. Meanwhile you need to specifically target H1B sponsoring employers if your goal is to try extending beyond STEM OPT.
Yes I plan to. Do you have a specific place where I can look for these consultancies/ or start? Never done this before.
You need to look at online H1B databases to see the track record of filing or if you know like a friend, colleague or relative who might know someone.
Past TC?
Well below $100k. In a LCOL, state income tax free state, right out of grad school. (Edited)
I think it depends on your YOE and your location as well as the school you graduated with to start with a high TC as a new grad. What is your expected TC now?
Hi, please share your resume and phone number with me. I hv a potential job opening which would be good for you
For your main job experience, expand it from 4 bullets to at least 6, and as many as 10. I want to know more about what problems you applied these solutions to. “Resource allocation” of what? What insights are we talking about here? Anomalous utilization of what? Why did a MAPE of 7% matter? How do I know whether 7% solved the problem? How do I know that you approached this problem thoughtfully? If you need to create space then cut out one bullet from each of your internships. Those don’t matter. Also you seem to be using space on this page for something else (not shown). Whatever it is it’s not important either. Cut it all down and focus all the content on your most recent job.
Yes I can use 2 points for each of my 3 projects at my most recent job. The only reason I hadn't done that was because from the resume examples I had looked at, they had each project, action, and the outcome all in one point. If I use 2 points per project, I cannot give a result/ outcome/ revenue gain at each point as only one point per project will be talking about the results, and the other will be discussing the approach. Is this ok?
Here’s one way to do this. Have 2-3 bullet points upfront to cover your role, why it exists, and what problems you’ve been trying to solve. In one bullet, summarize your overall impact. You can also break it out project by project. Then use each of your current bullet points to describe the approach you used to tackle each of these smaller problems. You’re allowed to have more than one sentence under a bullet. You can also use more than one bullet per project if you think it helps. The important thing is to convey that you understand what you’re doing and why. The biggest red flag is when a candidate doesn’t understand why they’re doing something. Your resume right now doesn’t help me understand what you were doing and why, so I’m inclined to think that you don’t know either 😕
Just my opinion: 1. Put a "Technologies: Python, Tensorflow.. etc" after every project. 2. After "identify KPIs" put some KPIs example. 3. "Onboarding of data scientists" to "Onboarded x data scientists". Put numbers 4. Next to "object detection model", put name of the model you used 5. If you are good in Data Structures, then add data structures in skills as well (i think this helps) Maybe bit unethical: 6. Where did you deploy XGBoost? If locally or something, as per comments I assume you have used AWS SageMaker. Just put it that you deployed on SageMaker. Learn a basic tutorial (should not take more than 4-5 hours to get basics of SageMaker for interview as you will be asked on Data Science questions) One website I found helpful: Jobscan.co (for ATS related stuff) Also, all the best <your gender>!
Got it. I've started working on fixing the points 1-4. For 5, I am not CS background so not an expert at DSA, though I know the basics and some leetcode as well. But I'm more familiar and used OOP in my work, can I add that instead? Would OOP add any value for a data scientist? For 6, what you said is exactly what has been going through my mind. I deployed it on a windows server literally using py and bat files. Is there a fancy way to put this? AWS Sagemaker I might add it as a project instead. Don't wanna fudge too much in my job duties/ skills.
Dont worry about AWS SageMaker as project. Just for now put it on resume that you deployed through AWS. Then later vheck tutorial on deploying on SageMaker. Also, if not SageMaker, you try with Flask as well.
Sprinkle in more tech under your positions. I see Xgboost but recruiters want to see more buzzwords. They wanna know you used PyTorch / Tensorflow professionally not just in school, how you used AWS, what features in AWS did you use. They like to see sagemaker, lambda, glue. Format looks good, don’t worry about going over 1 page.
Thank you. TBH I haven't used PyTorch/ tensor flow professionally because I'm not on the computer vision side of data science. And AWS I've just taught myself Sagemaker but haven't put that in my job duties because it's a small company so we never actually used any cloud service etc. I don't think I should still put it :/ even though it's not verifiable. Do you have any other pointers?
Only put tech that you can speak about under your professional experience. Depending on the hiring manager, they probably would love to see that you worked on sagemaker in your free time or they’ll just ignore it. For each bullet point put what tool you used for that project even if it feels redundant because the people who are viewing your resume are NOT technical at all and we are just trying to see if you have used it if that makes sense.