Exelon
Information Technology Intern
June 2021 ~ August 2021
Over the summer of 2021 I was able to work with the Strategic Enablement team at Exelon where I helped monitor and track of various applications across the corporation and brainstormed scalable methods of reducing the corporation's data footprint.
• Tracked the retirement and decommissioning process of business and IT applications and databases for the upcoming company split.
• Tackled efforts to improve awareness of company wide data footprint and theorized multiple approaches to reach and convince folder owners to delete unnecessary data.
• Helped develop, experiment with, and present data compression ideas that could lead to the removal of ~60 TBs of data alongside future reduction of data by 20% in NAS drives.
June 2021 ~ August 2021
Over the summer of 2021 I was able to work with the Strategic Enablement team at Exelon where I helped monitor and track of various applications across the corporation and brainstormed scalable methods of reducing the corporation's data footprint.
• Tracked the retirement and decommissioning process of business and IT applications and databases for the upcoming company split.
• Tackled efforts to improve awareness of company wide data footprint and theorized multiple approaches to reach and convince folder owners to delete unnecessary data.
• Helped develop, experiment with, and present data compression ideas that could lead to the removal of ~60 TBs of data alongside future reduction of data by 20% in NAS drives.
Fraunhofer USA CMA
Software Engineering Intern
January 2021 ~ Current
In partnership with the University of Maryland, College Park, I was given the opportunity to work with research scientists at this company located just off campus. This is where I am currently learning about research within the field of Natural Language Processing and various web-frameworks such as ReactJS.
• Parsed data from the SEC.gov website to create tools for predictive analysis of data that may signal fraudulent business activities or those that may compromise security.
• Used (Natural Language Processing) NLP to process text to infer certain activities and the relationship among those activities between people or businesses.
• Extending features of the Neo4j graph database visualization tool.
January 2021 ~ Current
In partnership with the University of Maryland, College Park, I was given the opportunity to work with research scientists at this company located just off campus. This is where I am currently learning about research within the field of Natural Language Processing and various web-frameworks such as ReactJS.
• Parsed data from the SEC.gov website to create tools for predictive analysis of data that may signal fraudulent business activities or those that may compromise security.
• Used (Natural Language Processing) NLP to process text to infer certain activities and the relationship among those activities between people or businesses.
• Extending features of the Neo4j graph database visualization tool.