Used Python to create an internal tool for team members to generate synthetic data tables with over 200 fieldsUtilized Retrieval Augmented Generation (RAG) to gather context from any kind of user uploaded tablesAutomated manual data creation to reduce testing time significantlyWon the annual Data & Digital Hackathon, competing against over 20 participating teams

Used Python and Natural Language Processing to group over 5,000 IT tickets by similarity.Analyzed work volume and identified potential automation use cases.Developed a framework to manage customer experience and automate routine tasks.Led Louisville Committee to secure funding and organize intern bonding events for the intern cohort.

Was part of the Data Mine at Purdue University, working with Battelle. Used CONTAM software to build airflow models in houses. Used Python to analyze data received from sensors to be used in machine learning algorithms.

Facilitated the opening and organization of a backlog of unemployment insurance mail from the COVID-19 pandemic. Scanned and delivered hundreds of documents to be uploaded into a database for further use.