Karan Gupta

Karan, an esteemed AI professional, has made significant contributions to the AI and tech industry through innovative solutions and thought leadership. At SunPower, Karan developed an algorithm to predict the "Estimated Installation Date" for projects with an impressive 85% accuracy. This breakthrough significantly reduced project cancellations quarterly, enhancing customer satisfaction and boosting revenue. Karan adeptly tackled challenges such as SKU-level inventory forecasting, short-term capacity planning, and accurate revenue recognition, previously problematic areas for the company.

Karan's talent for optimizing operations is highlighted by transforming a financial model from Excel to Python, reducing runtime by 90%. His creation of a Marketing Propensity Model has opened new market avenues in the US, enhancing sales and customer acquisition. As a key member of the new data science team at SunPower, he has cultivated a culture of data-driven decision-making.

His product affinity analysis model remains a cornerstone in the electric load forecast for New York's DPAM department, guiding multi-million-dollar capital budget decisions. Additionally, Karan's latency model has resolved critical data upload latency issues, improving the customer experience by reducing resolution times by 30%.

During his tenure at TCS, Karan's data-driven solutions for a retail client during Black Friday led to a 66% reduction in transaction failures, preventing potential losses of $1.2 million. This achievement earned him the accolade of "TCS Best Performing Employee of the Quarter."

Beyond corporate achievements, Karan's expertise is recognized in academia and industry events. He has judged tech hackathons at prestigious institutions such as NYU, MIT, and Georgia Tech. As a speaker, he has shared insights at international conferences like MLCon, PAW Climate, and Applied Intelligence in Austin. His publication in a top financial innovation journal underscores his commitment to advancing the field.

Karan's contributions have been widely acknowledged. He has been honored with the International Achievers Award and served on the editorial board of the IJAER journal. With his reputation further solidified by the Globee Gold Award for innovation in AI, Karan stands as a beacon of excellence in the AI community.