AI & Data Consulting Intern, EY
Incoming internship.
Computer Science student focused on applied AI, business technology, and efficient software systems.
About
I am a rising senior at the University of Maryland pursuing a degree in Computer Science with a machine learning concentration and a business minor. I am interested in applying AI to solve real world problems in the software, business, and financial sectors. I enjoys learning about new topics and technologies in the machine learning and scientific fields, which I leverage to create innovative solutions.
Background
Incoming internship.
Engineered a soft bounce email management system designed to protect email credibility, including internal SQL databases and Python scripts that synchronized systems through SendGrid API calls.
Mentored students in the Climate Computing stream of FIRE, supporting research development, data analysis, modeling, and presentation of undergraduate research posters.
Researched relationships between wave activity flux and Arctic weather patterns, writing Python scripts for simulations and analysis on Derecho, the NCAR supercomputer.
Work
Python / Pandas / NumPy / Streamlit / Plotly
Built a financial analytics application with live Yahoo Finance data, interactive 3D volatility surfaces, Black-Scholes pricing, Greeks calculations, and implied volatility construction.
Python / NLTK / Scikit-learn / Seaborn
Created a machine learning model to predict professor ratings using review sentiment analysis and feature extraction, comparing linear regression, ridge regression, and random forest models.
Personal