Syed Nazrul is a Senior Data Scientist in San Diego with 11 years of experience building machine learning systems that make decisions at scale across recommendation, fraud detection, and economics-driven forecasting. He has shipped production recommender pipelines at Eventbrite that doubled engagement-to-purchase conversion and scaled systems from 100K to 10M users using AWS, Snowflake (Snowpark), Airflow, and CI/CD. At Amazon he combined economics and ML to optimize demand and cost while earlier work at FICO and UCSD shows deep expertise in interpretable ensembles, cyber risk modeling, and high-performance data engineering on Spark/HDFS. Comfortable bridging research and product, he pairs a Nanoengineering/Economics background and a Master’s in Data Science with hands-on systems administration and HPC experience, making him adept at both modeling and the infrastructure that operationalizes it. An often-overlooked strength is his track record mentoring others and delivering pragmatic CI/CD and governance for large-scale ML pipelines.
Contributions:36 commits, 2 PRs, 89 pushes in 1 year 5 months
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