I am a first year graduate student in the Interdisciplinary Data Science program at Duke University. My experience range from regulatory analyst to leadership. I am interested in how businesses can utilize their data resources better with an optimized workflow. My interest lies in deriving business insights from data and software development.
M.S in Interdisciplinary Data Science, 2023
Duke University, North Carolina
B.A in Physics and Mathematics, 2018
St. Olaf College, Minnesota
Python, R, SQL
Git, matplotlib, Scikit-learn
Identifying primary causes of absenteeism in order to reduce worker absenteeism using Random Forest and Logistic Regression
NLP algorithm able to correct corrupted files using LevenShtein distance
Exploration of an end to end predictive model and deploying it on web app.