Sneha Kulkarni
Bengaluru, Karnataka · +91 90000 00106 · [email protected]
Summary
Data scientist with 4 years of experience building machine learning models for churn, demand forecasting and fraud detection. Strong in Python and SQL, and experienced in taking models from notebook to production.
Experience
Data Scientist, Quantum Fintech
Bengaluru · Jan 2023 to Present
- Developed a fraud detection model with XGBoost that improved recall by 21% while keeping false alerts flat.
- Deployed the model as a REST service on AWS that scores 50,000 transactions an hour.
- Ran A/B tests on credit-limit offers and shared results that raised acceptance by 9%.
- Mentored 2 junior analysts on feature engineering and model validation.
Associate Data Scientist, Aurora Retail Tech
Bengaluru · Jul 2021 to Dec 2022
- Built a demand forecasting model that reduced forecast error by 16% across 400 products.
- Created a customer churn model in scikit-learn and presented the drivers to the product team.
- Cleaned and merged data from 6 sources into a feature store used by 3 teams.
Education
M.Tech, Data Science, National Institute of Data Science, Bengaluru (2019 to 2021) · CGPA 8.9/10
Skills
Python · SQL · Machine learning · XGBoost · scikit-learn · TensorFlow · Feature engineering · A/B testing · AWS · Statistics · MLOps basics · Data visualisation