Using Data Analysis to Optimize Wastewater Treatment

This summer I worked on one of the UMass Amherst Water Energy and Technology center projects, the Load Controls Project, where I analyzed data collected by 12 energy/motor sensors installed at the Town of Amherst Wastewater Treatment Plant. I used water sample data taken at the plant to assess the plant's efficiency in purifying water in relation to its power usage. By using machine learning and statistics, I created a plan optimize the plant's power usage to create a more efficient system.​

UMass WET center projects are primarily focused on pioneering new approaches to wastewater treatment and enhancing existing water treatment methodologies.​

Participating in this project has revealed my affinity for data analysis, particularly in the realm of crafting models and employing my statistical and coding proficiencies to solve engineering problems. This experience has solidified my aspiration to pursue a career as a consultant specializing in data analysis for water treatment plants and engineering firms.

Internship funded by the CXD Internship Fund.