# Emily Paszkiewicz

> Software Engineer at Everbright, LLC

Location: San Francisco, California, United States
Profile: https://flows.cv/emilypaszkiewicz

## Work Experience
### Software Development Engineer @ EverBright
Jan 2022 – Present

### Associate Software Engineer @ Sighten, Inc.
Jan 2021 – Jan 2022 | San Francisco Bay Area

### Data Analyst @ nLine
Jan 2020 – Jan 2021 | Berkeley, California, United States
• 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.

### Data Analyst @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2019 – Jan 2020
- 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

### Market Research Consultant @ Taiwan User-Friendly Sensor & Tech
Jan 2019 – Jan 2019
- 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


## Education
### Bachelor of Science in Industrial Engineering and Operations Research
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/emily-paszkiewicz-12a9a2159

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Source: https://flows.cv/emilypaszkiewicz
JSON Resume: https://flows.cv/emilypaszkiewicz/resume.json
Last updated: 2026-04-11