About

Sagar Ganapaneni is a seasoned data science leader with over 11 years of professional experience in building end-to-end data solutions. He has deep knowledge of data science practices, ML algorithms, and analytics tools. Sagar has built high-performing teams from scratch by hiring, coaching, and enabling the growth of team members. He is recognized for his strong applied skills and driving projects/teams in solving complex business problems in multiple areas such as algorithmic marketing, mROI strategy & personalization, SaaS, product data science & unit economics models, sales analytics, opportunity scoring & price optimization, business forecasting, capacity planning & risk models, strategic insights, metrics & OKRs. Sagar is passionate about driving business value with scalable data solutions and coaching, mentoring, and supporting the growth of people that he works with. He is currently working as a Senior Data Scientist at Livongo, which is now part of Teladoc Health. Previously, he worked as a Senior Manager, Data Science at Teladoc Health, leading a data science group that was a driving partner for various Growth, Strategic, Synergy, FP&A, Product, and CX initiatives/optimization workstreams across the organization. He also worked as a Lead (Sr. Manager) Data Scientist at Cypress Semiconductor Corporation, responsible for architecting and leading the development of predictive and prescriptive data solutions for sales, marketing, operations, and pricing functions. Sagar has a diverse educational background, including a Professional Development degree from Harvard University, a Graduate Non-Degree from Stanford University, a Masters in Management Information Systems, Data Mining & Marketing Analytics from the University of Illinois at Chicago (UIC) - Liautaud Graduate School of Business, a Master of Science in Economics from Birla Institute of Technology and Science, Pilani, and a Bachelor's degree in Electrical and Electronics Engineering from the same university. Sagar's tech stack includes expertise in Data Science, Research Science, ML, and Infra. With 12.69 years of relevant experience, he is interested in building world-class data science and analytics solutions to drive business value.