I am a Data Scientist with 3+ years of experience specializing in extracting insights from structured and unstructured data.
I build robust Machine Learning and Generative AI (RAG) solutions, with a strong background in pharmaceutical analytics and product development.
- 🔭 Currently working on: Scaling AI Agents and predictive modeling frameworks at Axtria
- 🌱 Currently learning: Advanced MLOps, Knowledge Graphs, and high-concurrency data engineering
- 💬 Ask me about: Python, SQL, LLMs, Time-Series Forecasting, and MLOps
- 📫 Reach me at: [email protected]
- ⚡ Fun fact: If I'm not coding, I'm probably playing FIFA or reading One Piece
- Languages & Core: Python, SQL, PySpark
- Machine Learning: XGBoost, LightGBM, Scikit-learn, Statistical Modeling
- Generative AI: RAG, LangChain, Transformers, FAISS, ChromaDB
- Engineering & Ops: AWS, Databricks, MLflow, Docker, CI/CD, FastAPI, Streamlit
- Generative AI: Built a PoC AI Agent using RAG + Knowledge Graphs, reducing manual information retrieval time by 60%
- Predictive Analytics: Developed a propensity model for HIV brand switching, improving field engagement by 40%
- MLOps: Implemented CI/CD pipelines and MLflow for experiment tracking and drift monitoring, maintaining 95%+ accuracy
- Automation: Created high-concurrency auditing tools using Selenium and multithreading, reducing manual effort by 80%
