Elon Glouberman is a Staff Product Data Scientist with eight years of experience building production ML systems and data products across telecom, media, and fintech. A UCLA Cognitive Science graduate, he combines quantitative modeling, PySpark engineering, and AWS-first cloud architecture to drive churn reduction, CAPEX-driven market selection, and customer lifetime value initiatives. At Frontier he engineered pipelines handling terabytes of data and led experiments that materially reduced service costs; at Horizon and Intuit he scaled product analytics into business-facing outcomes. He is comfortable spanning analytics and software engineering—owning end-to-end ML infrastructure (Glue, Athena, SageMaker, API Gateway) while shipping high-impact predictive models. Outside core analytics he brings a creative bent from a Music Industry minor and hands-on full‑stack prototyping experience, demonstrated by early mobile and API projects.
The following project utilizes Python's Scrapy framework in order to scrape defensive statistics from Basketball Reference's website. The program takes a csv file that stores a list of NBA players names along with the season they want the statistics scraped from.
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