Crafted and executed advanced SQL queries, leveraging tools like Pandas and NumPy to extract and analyze critical data, supporting key business decisions.Conducted thorough data preparation for machine learning models, focusing on data cleaning, manipulation, and transformation to ensure reliable and accurate results.Designed and implemented a machine learning model using Python's logistic regression to forecast visa approval chances, successfully reducing rejection rates by 20%.Streamlined passport verification processes by integrating Microsoft Azure's Cognitive Services, cutting processing time by 30% and reducing the need for manual checks.Analyzed OCR data trends and partnered with cross-functional teams to provide actionable insights, enhancing data-driven strategies and overall business performance.Oversaw database management, ensuring the integrity of relational and non-relational data, while optimizing ETL processes with Informatica for efficient data flow and accuracy.

Developed a Python solution to analyze Excel inventory data, identifying and reporting unused stock, which optimized inventory management. Utilized Tableau to visualize customer data, effectively identifying frequent stock requests and unrequested stock.Managed master data, including creation, updates, and deletion, while ensuring data quality and integrity through QA processes.