Data Scientist
Spinnaker Analytics · Jan 2026 – Jul 2026
- Architected end-to-end data analytics pipelines and machine learning solutions to extract actionable insights from large-scale complex datasets.
- 🔹 Key Contributions & Impact:
- Data Processing at Scale: Processed, cleaned, and engineered features for 200,000+ raw data records using Python (Pandas, NumPy) and SQL, improving data quality and feature relevance.
- Machine Learning & Analytics: Built, evaluated, and tuned predictive ML models (Classification, Regression, EDA) to translate raw data into business intelligence dashboards and operational insights.
- Generative AI & LLM Exploration: Developed experimental RAG (Retrieval-Augmented Generation) workflows and prompt logic using LangChain to automate information retrieval from unstructured datasets.
- Cross-Functional Collaboration: Partnered with senior data teams to present model performance metrics, data visualizations, and strategic recommendations.

