Data Scientist
Current- As a Data Scientist, my responsibilities span the entire lifecycle of data analysis, predictive modeling, and advanced data-driven solutions. Key areas of expertise include:
- Data Warehousing: Designing and developing scalable data warehouses to optimize data storage and enable seamless access for analytics. Skilled in Postgres for robust data management.
- ETL Development: Building and maintaining efficient Extract, Transform, Load (ETL) pipelines using SQL and SSIS to ensure high-quality, clean, and reliable data.
- Predictive Modeling: Developing and deploying machine learning models in Python to extract actionable insights, improve forecasting, and enhance decision-making.
- LLM Development: Applying expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks to design intelligent, context-aware solutions that enhance automation and user interaction.
- Advanced Data Science: Leveraging statistical methods, feature engineering, and experimentation to solve complex business problems and deliver measurable results.My work combines deep technical expertise in data.
Nov 2024 - Present
