How Vikram’s resume is built
Layout and order
Vikram Joshi is a fictional data scientist in Pune, written for India on A4. Signal sets section rules out to the margin and puts skills two to a row, which keeps a technical page tidy without a sidebar. His order runs from experience to projects, then education and skills. With five years of work, the M.Tech from IIT Bombay goes below the jobs; a recent graduate would lead with it. The open-source project earns its own section because outsiders can check it, and its 300+ GitHub stars are evidence a hiring manager can verify.
How the bullets are built
Model bullets need a baseline. "Flags 3x more confirmed fraud at the same review volume" works because it holds cost steady and says what improved. The forecasting bullet names the error metric and both values, MAPE from 18% to 11% across 400 stores, so a reader knows exactly what was measured. The SageMaker line shows engineering, with retraining time cut from a week to a day. Mentoring 2 analysts closes the current role, which matters for a move to senior level.
Words to use
This page is about layout and bullets. For the skills, tools and verbs that recur in job posts, see the data analyst resume keywords.
Data scientist resume questions
Should a data scientist list Kaggle or course projects?
Only where they show something your jobs do not. A maintained open-source package or a deployed project carries more weight than a course notebook.
How do I write model results without sharing confidential numbers?
Use relative figures and the metric, such as 3x more fraud flagged at the same volume, or an error rate before and after. You do not need revenue figures to show impact.
Should I include my date of birth for jobs in India?
It is common but optional. The India preset can show it in the personal details; this sample leaves it out, which most tech employers accept.