Software Engineering/Machine Learning Intern | May-Aug 2025

  Created machine learning application in order to detect anomalies in complex radio spectral data in real time; programmed and documented steps for data cleaning, preprocessing/blurring/transforming, feature engineering and extraction, zero-shot forecasting, and unsupervised anomaly detection through clustering; investigated and successfully implemented image anomaly detection on generated spectral images; application scheduled to be deployed for in-house use

  Skills: Machine Learning, Anomaly Detection, Data Preprocessing, Feature Engineering, Real-time Processing, Python, Clustering, Computer Vision

  Data Science/Computing Intern | Jun-Aug 2022, Jun-Aug 2023

  Modeled opioid overdose trends using spatio-temporal clustering, regression, and random forests; findings presented to state government; selected for lab-wide research conference; used generative AI to scrape data from medical datasets

  Built ML models linking bat activity to Ebola and Nipah Virus to predict outbreaks; delivered proof of concept to client

  Skills: Data Science, Machine Learning, Spatio-temporal Analysis, Random Forest, Regression, Data Scraping, Generative AI, Public Health Analytics

  Camp Director, Camp Production Manager | Jun-Aug 2024

  Led over forty children from ages seven to fourteen through one- and two-week productions, instructing students on acting, vocal, and dance techniques, planning and executing lessons and activities, and handling disciplinary and interpersonal issues

  Managed technical lights and sound systems during performances

  Received positive feedback from several parents stating that the content, organization, and day-to-day running of the camp was the best they had seen

  Skills: Leadership, Education, Program Management, Technical Theater, Sound/Lighting Systems, Child Development