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