I’m a Data Scientist working on applied AI, product analytics, and decision-support systems.
My work focuses on building machine learning models, experiments, and analytics pipelines that help teams understand model behavior and make better decisions in real-world settings. I’ve worked across AI-driven products, healthcare systems, and large-scale data platforms.
- Applied machine learning and data science
- Product analytics, metrics, and experimentation
- LLM-based systems and recommender models
- Decision-support and analytics pipelines that ship to production
- Multimodal LLM Recommender Systems – combining text and image embeddings to study product recommendation performance at scale
- LLM-based Product Recommendation – fine-tuning and evaluating language models for next-item prediction
- Applied forecasting and pricing analytics – demand forecasting, elasticity modeling, and product analytics in production environments
- Healthcare analytics – decision-support models for financing, provider performance, and resource allocation
Feel free to explore the repos or reach out.