• Built data analysis pipeline for PowerWatch, which uses remote sensing to track power outages across an electrical grid. Started out in Prabal Dutta’s Embedded Systems Lab at Berkeley EECS.

• Implemented and evaluated unsupervised clustering algorithms to geo-spatially and temporally quantify correlations between time series data and define a “power outage”.

• Sourced data and built supervised models to estimate high resolution population and meter distributions.

• Generated a batch job for real time updates compatible with outage map data visualization system.

• Calculated KPI’s to evaluate outages.

• Showed empirically that there are enough sensors deployed to detect medium and high voltage outages.

• Involved in business development and hiring.

• Created paths to map nLine’s road to impact.

• Working as a data analyst for GridWatch, a project in Prabal Dutta's Embedded Systems Lab that uses sensing to track power outages across an electrical grid. Sensors are currently deployed in Accra, Ghana.

• Writing an agglomerative clustering algorithm to geo-spatially and temporally classify whether sensors experiencing outages are related to the same root problem in the electrical grid.

• Cleaned and analyzed data in Apache Spark, Pandas and ArcGIS. Developed visualizations.

• Paper in review at IPSN

• Developed viable B2C and B2B strategies for biotech startup based on extensive competitive market research and interviews with manufacturers, businesses, consumers, and professionals

• Supported my recommendation with decision analytics, which projected the company would earn an additional $100M annually by following my strategy