Undergraduate Research Intern, Data Science
May 2023 - Present
• Leveraged Pandas and Python to run stratified random samples, reducing 4,300 GB of IoT recording to approximately 34.3 GB while ensuring efficient data representativeness of all recordings and handling inconsistencies in data cleaning process
• Applied data augmentation techniques (i.e., background noise injection and pitch shifts) to improve the generalization of models that track the biodiversity of the Peruvian Amazon through acoustic sound recordings with an ensemble of several CNNs

Teaching Assistant, Data Science
March 2022 - June 2023
• Promote Student Understanding in Pandas DataFrame query, hypothesis testing, statistical analysis, and confidence intervals
• Contributed to curriculum design by developing problems on Permutation (A/B) Testing for a course with 300+ undergraduates
• My primary role under Prof. Suraj was to assist in developing and beta-testing the final project for the course curriculum

Computer Science Tutor
June 2021 - August 2021
• Lead tutor for six-week course teaching 4th-5th graders fundamental coding principles such as iteration, conditionals, binary
• Generated an engaging virtual classroom by challenging students with interactive projects using Arduino microcontrollers
• Facilitated debugging student’s code and adapted curriculum based on parent and student feedback