CV

Education

• M.Tech in Mathematical Modelling & Simulation (Data Science), Centre for Modeling & Simulation, Savitribai Phule Pune University — 2019
• B.E. in Mechanical Engineering, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University — 2015

Work Experience

• Oct 2024 – Present · Senior Data Scientist — Red Hat India
  • Building an AI-powered intelligence engine that provides support engineers with relevant customer issue context; owning the data pipeline, subgraph, and vector database services, while supporting LLM integration and evaluation.
  • Conduct retrieval and LLM evaluations using LLM-as-a-Judge to measure search quality and answer accuracy. Build automated golden datasets using similarity matching and LLM-based relevance evaluation. LLM Avg Precision@2 between 82-86%.
  • Evaluate document chunking strategies to improve retrieval performance and search effectiveness (Avg Precision@2 from 50% to 65%, Avg Recall@2 from 60% to 72%).
  • Technical Lead for SBR Routing and Tagging systems, driving architecture, rule-engine design, and ML model enhancements to increase coverage (SBR- 88-92%, Tagging - 70-72%), reduce error rates (SBR- 11-13%, Tagging - 1.5-3%), and improve end-to-end system reliability for support case workflows.
  • Managed machine translation project using transformer-based models and LLMs for multilingual document translation; optimized prompts and evaluated performance using BLEU(0.38) and ROUGE-L (Precision 60%, Recall-52%) to improve accuracy and reduce hallucinations.
  • Serving as a core member of the Pune AI Tiger Team, driving AI enablement across the organization and partnering with cross-functional teams to solve complex, site-level operational challenges using advanced AI solutions.
• Nov 2023 – Oct 2024 · Senior Data Scientist — Fractal Analytics
  • Led advanced analytics for global CPG clients covering pricing, demand forecasting, and consumer insights.
  • Built Price & Weight Elasticity, Demand Transference, and Price Pack Architecture (PPA) optimization models scaled across international markets.
  • Implemented MLOps pipelines and parallel processing frameworks to improve runtime efficiency.
  • Built NLP pipelines for social media analytics — sentiment analysis, topic modelling, and Generative AI-based consumer insight extraction.
• Aug 2019 – Nov 2023 · Data Scientist — Red Hat India
  • Built time series forecasting systems for global financial metrics: Sales (MAPE 3%), Commissions (7%), Expenses (6%), Billings (4%), Par-rate (1.15%).
  • Developed Bayesian models for services consumption probability to support sales portfolio optimization.
  • Designed Champion–Challenger evaluation frameworks; applied hierarchical and grouped forecasting with reconciliation.
  • Developed an internal Python library for time series forecasting; implemented CI/CD pipelines via GitLab and OpenShift.
  • Worked on highly imbalanced datasets (97:3) using feature engineering, model validation, and backtesting.
• Dec 2018 – Aug 2019 · Data Science Intern — CRISIL India
  • Built a Credit Risk Modeling Tool in Python Dash for automated scorecard generation.
  • Applied ML and statistical techniques for credit risk assessment; integrated model interpretability for black-box models as part of M.Tech thesis.
• Jul 2015 – Jul 2016 · Graduate Apprentice Trainee — SKF Bearings India
  • Led shop-floor operations as Channel Team Engineer; implemented SMED, Kaizen, and 5S manufacturing practices.

Skills

• Generative AI & LLMs — Agentic AI, Large Language Models, RAG, Hybrid Retrieval (BM25 + Dense), Vector Search, Re-ranking, LLM Evaluation, Hallucination Detection, Prompt Engineering, Fine-Tuning, Model Context Protocol (MCP)
• Machine Learning — Machine Learning, Deep Learning, NLP, Time Series Forecasting, Feature Engineering, Feature Selection, Bayesian Methods, Stochastic Optimization, Model Evaluation & Validation
• Languages — Python, R, SQL
• Libraries & Frameworks — PyTorch, TensorFlow, Keras, HuggingFace Transformers, LangChain, LangGraph, Scikit-learn, Sktime, NLTK, Matplotlib, Seaborn, Plotly
• Infrastructure — FAISS, Vector Databases, Docker, OpenShift, GitLab CI/CD, Tableau, Linux

Publications

See the Publications page.

Teaching

See the Teaching page.