Teach Javascript, HTML and CSS in person to high schoolers grades 9-12 twice a week before work

Full-stack engineer across two teams (software development and data science) supporting a host of retail analytics products

Developed and maintained predictive models on big data (TB) that continuously updated using pyspark running on kubernetes

Developed end-to-end dashboard metrics in production for clients to monitor promotional effectiveness derived from out predictive models (multi-tenant solution). Measuring this using queried metrics like margin, uplift, sales volume, pull-forward, product cannibalization etc

Assisted in management of 7 figure contracts including data preparation, presentation and client management

Developed machine-learning pipeline using AWS SageMaker and custom docker containers to train Tensorflow models on scientific data

Designed and developed full-stack application using Flask and React to that allowed users to upload the results of their experiments for the models to first be trained on, then updated later with more data

Developed predictive neural networks for both client-facing and internal use

Evaluated petabytes of data points to make product and product design recommendations

Composed highly-optimized SQL queries to extract daily business insights from petabytes of data

Analyzed billions of push-notifications to help customers maximize their click-through rate