Mayur Jain

Actively involved in daily sync-up calls with clients, and SMEs to gather business requirements into Azure boards. Analyzed complex, confidential banking data to provide useful insights using Seaborn and Matplotlib. Built 10+ real-time streaming pipelines using Azure Delta Lake and Pyspark technology. Performed Feature engineering on data having 100+ columns using Numpy and Pandas. Reconciled, arranged, and corrected research data to create representative graphs and charts on client information, which improved productivity by 3%. Developed Python-based tools to automate data accuracy verification which decreased the run time by 80% and reduced manual intervention. Built an ETL setup to integrate a global bank's existing customer data into a newly developed system, which enhanced the customers' service experience and increase efficiency to do the task by 23% daily. Developed business intelligence reports and dashboards.