Business Intelligence Developer
Current- Developed an end-to-end data pipeline to automate the extraction, transformation, and storage of inventory data from dynamic websites using Python (BeautifulSoup, Selenium), Azure Data Factory, and SQL databases. This resulted in timely, reliable data for strategic decision-making.- Designed a comprehensive framework to calculate product ROI by integrating sales and promotional data from various sources using Python and SQL Server. Implemented clustering techniques to identify effective promotional strategies, boosting sales by over 300% during promotional periods.- Leveraged advanced analytics to extract actionable insights on inventory trends and promotional effectiveness, enabling stakeholders to make informed, data-driven decisions. Tools used include Python (Pandas, Scikit-learn) and Azure SQL Database.