Data Scientist

Technical Skills: Python, SQL, AWS, Snowflake, MATLAB

Education

• Ph.D., Physics

  The University of Texas at Dallas (May 2022)

• M.S., Physics

  The University of Texas at Dallas (December 2019)

• B.S., Physics

  The University of Texas at Dallas (May 2017)

Work Experience

Data Scientist @ Toyota Financial Services (June 2022 - Present)

• Uncovered and corrected missing step in production data pipeline which impacted over 70% of active accounts
• Redeveloped loan originations model which resulted in 50% improvement in model performance and saving 1 million dollars in potential losses

Data Science Consultant @ Shawhin Talebi Ventures LLC (December 2020 - Present)

• Conducted data collection, processing, and analysis for novel study evaluating the impact of over 300 biometrics variables on human performance in hyper-realistic, live-fire training scenarios
• Applied unsupervised deep learning approaches to longitudinal ICU data to discover novel sepsis sub-phenotypes

Projects

Data-Driven EEG Band Discovery with Decision Trees

Developed objective strategy for discovering optimal EEG bands based on signal power spectra using Python. This data-driven approach led to better characterization of the underlying power spectrum by identifying bands that outperformed the more commonly used band boundaries by a factor of two. The proposed method provides a fully automated and flexible approach to capturing key signal components and possibly discovering new indices of brain activity.

Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales

Used Matlab to train over 100 machine learning models which estimated particulate matter concentrations based on a suite of over 300 biometric variables. We found biometric variables can be used to accurately estimate particulate matter concentrations at ultra-fine spatial scales with high fidelity (r2 = 0.91) and that smaller particles are better estimated than larger ones. Inferring environmental conditions solely from biometric measurements allows us to disentangle key interactions between the environment and the body.

Talks & Lectures

• Causality: The new science of an old question - GSP Seminar, Fall 2021

Publications