Data Scientist
CurrentAs 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 science and machine learning with a strategic focus on designing innovative, data-centric solutions that align with organizational goals.
