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Quantitative Research Intern
Wilks Brothers LLC•  December 2022 - Present
• Designed and programmed algorithms to help a multi-billion AUM family wealth office make investment and operational decisions in the oilfield service industry • Analyzed Anomaly Six (A6) dataset with Snowflake Data Cloud services to track frac sand logistics by building geohash libraries and utilizing Pandas, PyTorch, and other data science libraries • Helped formulate decisions around sand mine utilization and customers, route optimization opportunities, wellsite completion progress and mineral royalty acquisition targets
Education
University of Texas at Austin, Austin
Computer Science, BS•  August 2022 - Present
Turing Scholar at the University of Texas at Austin
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