Resume examples · Data Scientist
Data scientist resume for freshers, with a full sample
Two modelling projects with the metric and the baseline, an internship that used SQL, and the libraries named. Numbers are on held-out data, and the bullets say so.
The sample
ANANYA IYER
Bengaluru, Karnataka · ananya.iyer@email.com · +91 98765 43210 · github.com/ananya-iyer
Summary
M.Sc Data Science graduate (2025) aiming for a Data Scientist role, skilled in Python, machine learning and SQL. Built a review classifier for mixed Hindi and English text that beat a simple baseline by 13 points.
Education
M.Sc Data Science, Christ University, Bengaluru2023 – 2025 · CGPA 8.6
B.Sc Mathematics, Mount Carmel College, Bengaluru2020 – 2023 · 82%
Skills
Languages: Python, SQL
Libraries: pandas, scikit-learn, PyTorch
Areas: machine learning, NLP, model evaluation, forecasting
Cloud: AWS
Projects
Hindi–English review classifier | PyTorch, NLP | Team of 2Aug 2024
An NLP model that tags product reviews written in mixed Hindi and English as positive, negative or neutral.
Fine-tuned a small multilingual model in PyTorch on 8,000 reviews we labelled ourselves; hosted a demo on AWS.
84% accuracy on 1,000 held-out reviews, against 71% for a word-count baseline.
Loan default prediction | Python, scikit-learn | SoloJan 2025
Trained machine learning models on a public dataset of 300,000 loan applications to flag likely defaulters.
Cleaned the data with pandas and compared logistic regression with gradient boosting in scikit-learn.
Wrote up the model evaluation: gradient boosting reached 0.81 AUC on a held-out set, and the five features that mattered most.
Internship
Data Science Intern, Shopwise, BengaluruMay 2024 – Jul 2024
Wrote SQL to pull 18 months of orders and built a weekly demand forecasting model in Python for 40 products.
The forecast missed by 12% on average, against 20% for the team’s spreadsheet method.
The person, their numbers and the companies are made up. Write yours from what you did.
What data scientist postings ask for
The share of 165 open postings in this field, across all experience levels, whose requirements name each skill. A tick means the sample shows it. List only the ones you can show; the rest are what to learn next.
- ✓Machine learning44%
- ✓Python44%
- ✓SQL26%
- ·LLM26%
- ·Azure25%
- ✓AWS24%
- ·Analytics22%
- ·GCP14%
Counted on 18 October 2026 from postings of the previous 45 days. How we counted, and other fields.
Why it works
1
Give the metric and the baseline
“84% accuracy against 71% for a simple baseline” shows judgement. “84% accuracy” alone invites the question “compared to what?”.
2
Say where the data came from
A public dataset, data you labelled, an internship’s orders. It tells them how messy it was.
3
SQL still matters
Data science postings ask for SQL often. One bullet where you pulled your own data covers it.
Yours, for each data scientist job you apply to
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