Led a comprehensive data transformation project for to improve operational decision-making and forecasting. The project involved cleaning and normalizing a dataset of 200 million rows, designing a 3NF-compliant data warehouse, and creating an Entity-Relationship Diagram (ERD) for effective database management. Developed machine learning models for price prediction and elasticity analysis, and implemented forecasting models to predict future trends. Delivered an interactive and user-friendly dashboard for real-time data visualization, enabling stakeholders to make data-driven decisions.

The project optimized Client's data handling processes, improved analytics accuracy, and streamlined reporting workflows. It empowered the client with actionable insights and scalable infrastructure for future growth.