• Built data pipelines with data quality checks for multi-channel, multi-touch marketing attribution, enabling marketing and analytics teams to better allocate marketing spend and explore growth opportunities using Python, Airflow, SQL, Segment, AWS (Redshift)• Developed microservice to scrape car rental competitor websites to get vehicle pricing data to support competitive pricing efforts using Python, SQL, Kubernetes, Terraform, REST API, AWS (SQS, S3, Redshift)• Developed various data pipelines to ingest and push data to support marketing efforts across cross-functional teams in growth and performance marketing using Python, SQL, SFTP, REST API, AWS (S3, Redshift)• Contributed to core data services framework by creating reusable, tested software components for ETL and data quality using Python, SQL to enable team in quickly creating robust data pipelines for vendors and internal teams, decreasing pipeline development time by 30%

• Designed, built, and launched machine learning application to automatically generate and expose engaging video previews to support internal brands (CBS News, CBS All Access) and remove dependency on external services, resulting in significant cost savings using Python, Django, Kubernetes / Helm, and GCP (GKE, Pub/Sub, GCS, Cloud SQL)• Built serverless collaborative filtering recommendation system to power personalized movie / show recommendations for CBS All Access using Python, Spark, Redis, Kubernetes, and GCP (BigQuery, Dataproc, GKE)• Developed and launched backend API for creating personalized movie / show recommendation carousels for millions of new & trial users on CBS All Access, enhancing user experience using Python, Django, Redis, Kubernetes, and GCP (GKE, Cloud SQL)

• Researched various text summarization methods (TextRank, Pointer Generator) and created a cloud-native text summarizer application consisting of Chrome extension (JavaScript/HTML/CSS) with Python backend server deployed on GCP (App Engine) using Docker