- Designed, developed, and maintained a full-stack web application using Vue3.js, Flask, Postgres, and Python, that streamlined a previously time-consuming analytical process from days to mere seconds, efficiently organized data, produced forecasts, and significantly reduced error rates.- Built scalable and interpretable analytical frameworks to support clinical operations, which optimized study planning and integrated diverse data sources. This platform successfully garnered stakeholder approval across multiple groups and resulted in significant time and cost savings.- Created a machine learning model that accurately processed audio recordings as a digital endpoint. - Partnered across multiple functions, to establish and implement process improvements for the product development cycle, including standardizing technology selection, conducting rigorous testing, and enforcing necessary documentation practices. - Managed multiple interns, overseeing development and execution of their projects while effectively communicating objectives and fostering a collaborative, tea

- Collaborated with cross-functional and multi-disciplinary teams to identify challenging business problems, lead complex data projects, and effectively communicate quantitative analysis- Provided expertise in experimental design and hypothesis testing, using a rigorous scientific approach to properly design, analyze, measure, and interpret results to provide strategic insight- Employed statistics and models to assess significance, causal inference, impact, and attributionImplemented forecast modeling, predictive analytics, time-series analysis, and supervised and unsupervised machine learning to find better solutions and insights- Built basic data ETLs using GCP to collect, process, integrate, and store data in the warehouse- Created data monitoring tools and self-serve data dashboards to support decisions and identify risk- Contributed code and documentation to maintain large internal and external datasets- Created a training program and held weekly office hours to promote data science literacy

- Developed advanced analytical tools and visualizations to explore diverse data- Designed, troubleshooted, and managed data-driven experiments to investigate how early-stage molecules influence brain circuits and alter behavior- Interpreted and effectively communicated scientific outcomes to various departments and shareholders- Brainstormed solutions to complex issues, aiding the process of informed decision making- Provided recommendations for preclinical testing, molecule evaluation, and drug target development- Managed collaborations with academic institutions to provide preclinical data for strategic data-related decisions to support drug development

- Investigated the effects of stress on the neurocircuitry of addiction and reward-related behaviors- Employed a variety of techniques, including electrophysiology, optogenetics, pharmacology, and molecular biologyHonors Earned: National Science Foundation graduate student fellow, Eugene Cota Robles university fellow, and outstanding teaching as a graduate student instructor.