Worked with cross-functional teams, including dat engineers, data scientists, product managers, and data analysts to launch data infrastructure for content metadata for MAX.Developed and launched a full-stack web application for data visualization and reporting. Led the technical design and execution, incorporating Snowflake to extract data using SQL, converting it to JSON, and pushing it to S3. Automated the pipeline to run daily using Airflow and employed Lambda functions to bring S3 files into DynamoDB, streamlining data availability for front-end development.

Led analysis efforts for projects for Food Network Kitchen and Discovery+, utilizing user insights to enhance the recommendation system, resulting in significant increases in activation and engagement metrics

Worked with an agile team of 10 Machine Learning/AI scientists and engineers to deliver models to create personalized product recommendations for Amazon 3rd party Sellers across 12 marketplaces delivered through 6 different channelsDeveloped key metrics and analytical insights to generate recommendations for customers, ultimately yielding a 51% increase in sales ratesIdentified and eliminated product inefficiencies and noncompliant sellers, resulting in substantial cost savings exceeding $3 billionExecuted database migration from Oracle to RedshiftParticipated in design thinking and user-centered design principles in conducting interviews with 50+ sellers from 15 countries to create products better suited to our customers