Résumé

Education

Software: Python / Google Earth Engine / GeoPandas

Building an imagery-based map of NJ warehouse growth using NAIP aerial imagery, building footprints, and census tract data
Developing computer vision models (segmentation and YOLO object detection) to detect warehouses and count truck trailers as an activity measure
Linking warehouse activity to satellite NO2, air quality monitors, and demographics to assess impact on overburdened communities

Software: Python / Pandas / Matplotlib

Developed a predictive model to forecast daily electricity demand using data from the U.S. Energy Information Administration (EIA) and NOAA weather stations
Collected, cleaned, and merged electricity demand and weather datasets, handling missing values for time-series analysis

For more projects, check the Projects page.

Data Science Co-op, Digital Solutions

Software: AWS / SageMaker / Python / Jupyter Notebook / Jira / Confluence

Cleaned and curated 13,000+ videos (216+ hours of footage) for computer vision model training, tagging and filtering corrupted or low-quality footage to improve data quality
Performed image and video segmentation, including face tracking and human detection, to generate labeled data for vision AI models
Processed and managed video data using Python and Jupyter Notebook within AWS SageMaker cloud environments
Collaborated with the Vision AI team using Jira for task tracking and Confluence for documentation in an Agile workflow

Manager

Trained and supervised 15+ employees, coordinating schedules and workflows using Google Sheets to optimize team productivity
Tracked and analyzed inventory data to identify trends, streamline ordering, and reduce stockouts and waste