From Basketball Fan to Data Engineer and Developer.
I'm a passionate data engineer (slash scientist, slash analyst) and basketball enthusiast with the goal of bringing more context to the game of basketball through HooperLabs. With a background in data and development, I've created a platform that transforms raw basketball statistics into more meaningful insights through advanced analytics.
As someone who has always been fascinated by the quantitative aspects of basketball, I found myself constantly seeking deeper insights beyond traditional box scores. This curiosity led me to develop HooperLabs as a comprehensive ecosystem of basketball analytics tools that bridge the gap between raw data and actionable intelligence.
My goal with HooperLabs is to democratize advanced basketball analytics, making sophisticated metrics and insights accessible to fans, analysts, and decision-makers without requiring deep technical knowledge. Each tool in the HooperLabs ecosystem is designed to answer specific questions about player performance, team dynamics, and contract valuations that go beyond traditional statistics.
The path that led to creating HooperLabs and merging my passion for basketball with data analytics.
Developed a deep passion for basketball, studying the game beyond just watching highlights. Began analyzing player performances and team strategies through available statistics.
Pursued a degree in Information Technology with a focus on data analytics. Started exploring ways to combine technical skills with basketball knowledge.
Worked professionally as an automation developer, building ETL pipelines and database architectures. Gained expertise in data scraping, cleaning, and storage solutions. Also met my mentor who began teaching me advanced Python and data engineering.
Built and launched multiple basketball analytics web applications, now powered by HooperData, focusing on player comparisons, contract analysis, and advanced metrics.
Developed the foundation of each project on HooperLabs with the creation of HooperData, a comprehensive basketball database with automated scraping and processing capabilities.
Fully launched the HooperLabs ecosystem, unifying all analytics tools under one platform and continuously adding new features and insights based on user feedback.
The technical and basketball knowledge that powers HooperLabs.
I'd like to express my deepest gratitude to my mentor, Alex Narayan, for his invaluable guidance, unwavering support, and belief in my ability to grow as an engineer/developer. His expertise and encouragement have been instrumental in bringing each and every project featured on HooperLabs from concept to reality. This journey would not have been possible without his mentorship.