Meghna Sinha is Vice President Artificial Intelligence at Verizon, her organization is responsible for designing highly resilient, reusable and scalable models that power all major decisioning systems at Verizon. With 120m customers, 1600+ retail stores, 132k employees and an aggressive 5G expansion roadmap, the scope of business problems is very diverse requiring deep expertise in classical statistical methods as well as machine learning/deep learning methods.
Meghna’s data science career spans over twenty-two years with a decade spent at the intersection of digital commerce, retail, personalization and experimentation. Her passion for solving real-world problems with AI has her advising and mentoring a handful of early stage startups in Southern California.
Meghna also serves on the Board of Boys and Girls Club of Central Orange Coast supporting 9,500 youths annually in the Orange County area. She develops programs that will help youths gain exposure, familiarity and access to STEAM learning opportunities.
Prior to Verizon, Meghna was at Target for almost a decade building and scaling machine learning and experimentation capabilities during Target’s multi-year transformation from pure brick and mortar to an omni-channel retailer. The capabilities she led were key enablers in many firsts including real-time personalization, experimenting and expanding Target’s fulfillment capabilities like Drive-up, launching Target’s Circle loyalty program, scaling the digital experiences for new brand launches, and remodeling Target’s 2000+ stores. Meghna was also tasked to lead an Enterprise wide Testing and Measurement program at Target that created the movement and culture for faster testing and iterating on ideas.
In the pre-data science era, Meghna spent a decade plus at IRI building statistical predictive capabilities for CPG (Consumer Packaged Goods) companies. Her undergrad degree is in statistics and mathematics and she received her master in statistics from the University of Cincinnati.