Deepika Gupta is a data scientist with 11 years of analytic and ML experience, and over 8 years converting business requirements into scalable models across retail, communications and large-scale web platforms. She has built and operationalized end-to-end pipelines—ETL, feature engineering, model development and deployment—working with Hadoop, Hive, SQL Server and cloud-scale data at companies like Facebook, Macy’s and Cox Communications. Deepika combines strong statistical rigor (A/B tests, inference, PCA) with practical engineering skills in Python, R and Scikit-learn to deliver fraud detection, sales forecasting and customer analytics. Based in Seattle, she’s comfortable moving between ad-hoc analysis and productionized solutions, often automating messy data cleanup and imputation to accelerate modeling. A detail-driven collaborator, she bridges data engineering and operations to ensure models are reproducible and performant in production.
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