Resume
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Overview of my experience as a data scientist, open to onsite roles and remote opportunities across the United States.
Nivesh Kannan Elangovanraaj
Data Scientist with 7 years of experience delivering $30M+ measurable impact across banking, e-commerce, and healthcare. Skilled in AI & ML workflows from data engineering and model development to deployment, monitoring, and business integration. Proficient in Python, SQL, R, Spark, and CI/CD tools. Experienced with LLMs, NLP, forecasting, and predictive modeling. Co-author of 6 published peer-reviewed papers. Recognized for cross-functional collaboration and building scalable, deployable, production-grade solutions.
Professional Experience
Société Générale · Lead Data Scientist
Bangalore, India
- Designed and deployed liquidity monitoring + forecasting pipelines (ARDL & ARIMA) with CI/CD and drift monitoring; contributed ~$27M NBI over 2 years.
- Automated RFP responses with ML-based question similarity and LLM-assisted answer generation; delivered $500K NBI uplift and $250K cost savings.
- Deployed ML-powered text parser converting trading jargon to structured data with 95% precision; generated $750K business value.
- Led a team of 3 data scientists, partnering across domains to reduce tech debt and improve consistency through internal tooling.
Flipkart · Senior Business Analyst
Bangalore, India
- Built gradient-boosting driver models and sensitivity analysis to link CX with operations metrics; improved NPS by 800 bps and generated ~$5M value.
- Enabled same-day installations for large appliances by optimizing process analytics; improved courier experience and saved $500K annually.
Mu Sigma · Decision Scientist
Bangalore, India
- Conducted HEOR-focused epidemiological studies on real-world medical data using statistical and causal inference methods.
- Published peer-reviewed articles and presented posters at industry conferences (ISPOR, ICPE).
- Assisted COVID-19 vaccine trial analytics by estimating optimal participant sample sizes.
Skills
Programming & MLOps
Python, R, SQL, PySpark, CI/CD, GitHub Actions, Jenkins, Kedro
ML & AI
Classification, NLP, Forecasting, Gradient Boosting (XGBoost/CatBoost), Deep Learning (CNN/RNN), LLMs
Statistics
Hypothesis testing, A/B testing, regression, time series, causal inference
BI & Viz
Tableau, Power BI, Plotly, Matplotlib, Seaborn
Education
- UCLA Anderson School of Management — M.S. in Business Analytics (MSBA), expected 2026
- Anna University — B.E. Electrical & Electronics Engineering, 2018
Awards & Recognition
- Société Générale: Employee of the Year Nominee (2024), Team of the Year (2024), Star of the Quarter (2023)
- Flipkart: Titan Award for analytical excellence during Big Billion Day Sale
- Mu Sigma: Spot Awards (2019–2021) and client kudos for COVID-19 research collaboration