Food Pantry Tech Team Member

• Sep 2022 - Present

• Clean, analyze, and interpret university food pantry check-out dataset using Python and NumPy and plotly packages • Predict and visualize availability of food items to provide director of Basic Needs Center insight on efficient restock schedule • Clean, analyze, and interpret university food pantry check-out dataset using Python and NumPy and plotly packages • Predict and visualize availability of food items to provide director of Basic Needs Center insight on efficient restock schedule

Career Exploration Commitee Member

• Sep 2022 - Present

Computer Science Mentor

• Sep 2022 - Present

• Teach introductory computer science topics in Python to underserved middle school students in an understandable, engaging manner• Develop tailored curriculum for each weekly class through lectures and labs in Replit exploring loops, conditionals, and functions • Teach introductory computer science topics in Python to underserved middle school students in an understandable, engaging manner• Develop tailored curriculum for each weekly class through lectures and labs in Replit exploring loops, conditionals, and functions

Research Data Analyst + Machine Learning Intern

• Aug 2020 - Present

• Developed data-cleaning code in R and Stata to correct errors, filter inconsistencies, and validate data in large patient datasets • Collaborated with an international team of data scientists, statisticians, and clinical researchers in the 3HP Options Trial and R2D2 TB Network (Rapid Research in Diagnostics Development) projects• Train and test machine learning algorithm with CXR dataset to predict pulmonary tuberculosis presence in children’s chest X-ray scans • Developed data-cleaning code in R and Stata to correct errors, filter inconsistencies, and validate data in large patient datasets • Collaborated with an international team of data scientists, statisticians, and clinical researchers in the 3HP Options Trial and R2D2 TB Network (Rapid Research in Diagnostics Development) projects• Train and test machine learning algorithm with CXR dataset to predict pulmonary tuberculosis presence in children’s chest X-ray scans

Student Researcher

• Jun 2021 - Jul 2021

• Constructed theoretical population model in R to simulate effects of individual behavioral differences in animal communities• Co-wrote an 8-page research paper under mentorship of a Ph.D. student• One of 42 students selected out of ∼500 applicants for the UC Davis Young Scholars Program• Received a full scholarship from the Bororditsky Family Scholars Fund • Constructed theoretical population model in R to simulate effects of individual behavioral differences in animal communities• Co-wrote an 8-page research paper under mentorship of a Ph.D. student• One of 42 students selected out of ∼500 applicants for the UC Davis Young Scholars Program• Received a full scholarship from the Bororditsky Family Scholars Fund