Experienced Data Science Leader with a proven track record of
leading cross-functional teams across Fresh Retail, Retail, Finance,
and Healthcare/Pharma. I have successfully implemented Customer
Lifetime Value and Demand Forecasting models for major North
American retailers, significantly improving accuracy and revenue. I
introduced Weighted Accuracy to better capture retail nuances and
optimized model training and inference pipelines using Databricks
and AWS Sagemaker, ensuring efficiency at scale. Additionally,
I have led initiatives in experimentation and predictive modeling,
refining algorithms for advertiser campaign optimization and
launching web labs to enhance shopper engagement.
Most recently, I led the development of a Generative AI-powered
chatbot using Amazon Bedrock, improving internal efficiency
and customer support. I also spearheaded the implementation
of generative AI in analytics, enabling natural language-driven
data retrieval.
Sneha H. earns an estimated $13k/mo. That's 10.7× the typical freelancer and more than 99.93% of everyone we track.