Rotation #1: Predictive Fleet Diagnostic Application Delivery- Developed an enhanced search algorithm which identifies eSOMS records relating to Nuclear System Unavailability by searching for specific keywords and accounting for misspellings and variations. - Developed a clustering algorithm leveraging NLP and DBSCAN to cluster Nuclear equipment based on their name to decrease maintenance spending by eliminating unnecessary replacements. - Developed classification model leveraging NLP to match a sensor name to possible associated Nuclear equipment providing groundwork for additional model developments.Rotation #2: Power Marketing Trade Floor- Developed an ETL pipeline that scrapes energy news sources on a daily basis. - Leveraged PEGASUS-X, T5-Base, and BART-LARGE-CNN to produce bite sized summaries from the articles, as well as sentiment scores using FinBERT- Research optimal models to forecast energy load variations on a daily aggregation- Built a Streamlit dashboard to display data

Worked with Microsoft Sharepoint, Snowflake, and IBM Congos Analytics to track and report data warehouse and reporting system issues. Built several Microsoft Automated Flows to provide additional functions to the list, such as providing email reminders to complete data entry. Constructed a Microsoft Power App with chained, multi paged data entry form to provide easy, mobile data entry.

Helped drive Tech Talent Initiatives, prepare virtual community events, and built dynamic stats in website through API’s

I was chosen to be one of the 6 high school interns for MPFI out of over 100 applicants. During 6 intense weeks, I researched the In Situ Hybridization of Acetylcholine Receptors in Cortical Chandelier Cells.