Priyam Ganguly is a seasoned data analyst with considerable exposure in the FinTech, energy, and telecommunication sectors. As a present data analyst for Hanwha QCells America, he creates effective business dashboards and automated data processes that assist the high levels of management in making decisions. With the use of Tableau Prep Builder software, Priyam can turn data into insights, viewing analytics as an integral part of organizational strategy and business operations.

The evolution of Priyam’s career at S&S Truck Parts and SBI Cards further showcases his adaptability within analytics. At S&S Truck Parts, he optimized supply chain analytics through the creation of an automated dashboard, while at SBI Card he employed market basket analysis to increase the penetration of credit cards. His insights that were directed at the client assisted SBI Cards in working out how best to improve the product coverage.

He is also a data storyteller, so it takes no time for him to turn analytics into a story for the layperson, integrating technical details with real business consequences. He holds an IEEE publication in the areas of machine learning and predictive analytics and also engages in academic research, aside from his industry practice.

Additionally, Priyam has engineered a robust database schema and flexible stored procedures that handle complex incremental report generation models, showcasing technical excellence in data management. He has also created adaptable Excel DLLs that transformed traditional Excel formulas into efficient code, revolutionizing the validation process and ensuring data accuracy.