• Led team of 5 members to help create popular problem identification website, using Python Flask backend, NodeJS middleware, and MongoDB database, with Agile methodology• Spearheaded deliverable documents, including WBS, architecture documents, testing plan, meeting agendas, weekly summary reports, and status update presentations

• Produced two different musical samples of 30 seconds using Beethoven Sonatas as training data• Utilized Recurrent Neural Networks and GPT-3 style transformer-decoder model in tandem with TensorFlow and Keras libraries to generate new musical compositions

• Analyzed potential relationship between COVID-19 pandemic and opioid overdose deaths applying linear regression, multilayer perceptron models to discover any potential relationships in data• Performed data cleaning on open-source New York Times, Census, and health.gov data of over 40,000 entries using Pandas, and used K-means clustering for data estimates• Leveraged Matplotlib and seaborn Python libraries to visualize results, aggregated in an IEEE research paper format

• Developed Python programs in conjunction with Twitter’s API using Sci-Kit Learn and VADER Sentiment libraries to analyze sentiment of 25 political topic queries over time, including politicians and policies• Utilized Python Pandas and Regular Expression to clean over 800,000 data entries• Presented analysis in a professional and accessible fashion, 1st place for Opportunities for Undergraduate Research Experiences (OURE) Science category poster presentation

• Introduced over 4000 students to campus resources for personal and social development, and provided opportunities for students to interact with students, faculty and staff• Tackled logistical problems for organization and operation of school’s opening week events during COVID-19 pandemic, such as planning an interactive awards ceremony for 1200 first year students, and designing escape rooms for 100 transfer students• Communicated effectively to diverse groups of over 100 individuals in a professional setting• Provided opportunities for students to interact with students, faculty and staff