For Con Edison, accurately determining gas allocations for their customers is mission-critical. The traditional human auditing process, however, is time-consuming and prone to errors. That's where my expertise made a significant difference. Leveraging Python, Selenium, and Excel, I automated Con Edison's auditing process, reducing their processing time from days to mere hours. This not only streamlined their operations but also ensured stakeholders had up-to-date and accurate information, boosting their confidence in the system.

Con Edison left my work with a Letter of Recommendation which is featured as media for this project.

If you're looking to automate your workflow with a reliable and efficient data scraping process, contact me TODAY!