Data Scientist | PhD in Mathematics | MLOps · LLMs · Quasi-Monte Carlo
I build end-to-end data pipelines, ML systems, and research-grade numerical algorithms. My work sits at the intersection of applied mathematics and production machine learning.
- 🔭 Currently researching Quasi-Monte Carlo methods and their applications in ML
- 🤖 Building RAG systems and LLM-powered applications
- ☁️ Experienced with GCP (BigQuery, GCS, Terraform, Dataproc)
- 📝 Writing about data science on Medium
- 📄 Academic work on Google Scholar · ORCID
Languages
ML & Data
MLOps & Infrastructure
NLP
| Project | Description | Stack |
|---|---|---|
| Citi Bike Analytics Pipeline | Batch data engineering pipeline with partitioned DWH and Streamlit dashboard | GCP · Terraform · BigQuery · Python |
| Nursing Mothers RAG Chatbot | RAG-based chatbot answering nursing & infant care questions | Python · LangChain · Vector DB |
| MLOps Bike Demand | Full MLOps pipeline for bike-sharing demand forecasting | MLflow · Python · Docker |
| Hotel Booking Cancellations | ML model to predict cancellations and optimize revenue strategy | Python · Scikit-Learn |
Open to collaborations on ML research, data engineering, or LLM applications. DM on LinkedIn!