TA for the Subject MISM6202 Foundations of Data Analysis for Business.

• Performed exploratory data analysis to identify patterns aiding in strategic decision-making in updating the tax system and delivery pipeline process in compliance with BREXIT regulations - prevented $5M in potential monthly loss.• Conducted data mining, providing functional interpretation of master data to support business decisions using S4 HANA to identify trends over a defined period for pre-order of products thus reducing the wait time by 40%.• Developed ETL processes, including data transformation, source mapping, and loading, to ensure efficient data movement from legacy system to S/4 HANA, achieving 50x increase in processing speed.• Utilized SQL queries in JDE for comprehensive data analysis and developed processes in Winshuttle Enterprise Studio.• Supported Agile development test planning and implementation within the SDLC framework to enhance production features and improve client experience on the SAP S/4 HANA Cloud Platform.

|| BIG DATA ||-MAP REDUCE, BIG Data Pipeline-MapR-FS, Direct Access NFS-HIVE programming, HIVE QL & SQOOP-Creation of external table in HIVE, Partitioning-Ingestion of tables from MySQL to HIVE using SQOOP -PIG : analysis of large datasets-Mapper & Reducer Program -Intermediate work on Tableau