Summary
Jacob Stambaugh is a data scientist with 8 years of experience blending biotech research and production analytics to deliver robust ETL pipelines, ML models, and actionable visualizations. He has driven high-impact work from academic labs—developing models that predict cancer cell fusion with AUCs around 0.93 and image-processing scripts with 98% accuracy—to industry roles building forecasting and KPI dashboards that improved decision-making and achieved ~93% rent-growth prediction accuracy. Comfortable across Python, statistical modeling, and data engineering, Jacob bridges design, technology, and business to translate complex experimental and operational data into reliable products. He has a track record of cutting operational friction—reducing experimental and import turnaround times by hours—while leading cross-functional teams and teaching technical skills. Based in Texas and an alum of The University of Texas at Austin, he is particularly interested in applying data science to biotech and healthcare outcomes.
8 years of coding experience
4 years of employment as a software developer
Minor, Computer Science, Minor, Computer Science at The University of Texas at Austin
Spanish, English