At Nike, I engineered preprocessing and feature-engineering pipelines that reduced end-to-end data processing time by approximately 35%. I also developed workflows that transformed more than 1M customer-feedback records into analysis-ready datasets.
At Nike, I automated feedback data ingestion with AWS S3 and Lambda, reducing manual review and processing effort by approximately 40%. I built processing and serving workflows that enabled downstream applications to consume more than 100K predictions per day.
Earlier at Nike, I developed data-preparation and customer-segmentation workflows for marketing analytics. At Cognizant, I engineered near-real-time streaming pipelines for advertising events and developed Python services and REST APIs connecting data pipelines with internal applications.
