• Expanding on previous research with Dr. Ahmed Aziz Ezzat by integrating temporal and spatial data into the existing model to enhance predictions of North Atlantic Right Whale (NARW) occurrence• Collaborating with Professor Dr. Kiran Garimella to develop machine learning models and apply geo-spatial analysis techniques to identify refugee settlements and their economic activities, leveraging satellite imagery to address humanitarian challenges

• Conducted analysis on 10GB+ datasets using Python (pandas, seaborn) to identify correlations between North Atlantic Right Whale (NARW) occurrence and environmental information derived from satellite and slocum glider data• Collaborated with team to develop a machine learning model for predicting NARW occurrence, employing algorithms such as Adaboost and Random Forest; this model significantly improved predictive power (from 16% to 56% TPR), contributing to sustainable wind-whale coexistence efforts• Co-authored a peer-reviewed paper: “Machine Learning for Predicting North Atlantic Right Whale Presence to Support Offshore Wind Energy Development in the U.S. Mid-Atlantic,” in Nature Scientific Reports (DOI: 10.1038/s41598-024-80084-z)

• Collaborated with a team of 5 to develop an AI-based educational product using Azure OpenAI’s GPT-3.5 model, designed to assist students by summarizing information, guiding resource access, and enhancing preparedness for their careers• Delivered an impactful product demo to an audience of over 30 stakeholders, effectively highlighting its capabilities, and garnered positive feedback on its potential impact

Selected for a pre-internship program providing in-depth exposure to the firm’s culture, operations, and impact, while participating in workshops designed to equip future interns with essential skills for success.

Mentored and guided 40+ students in designing and managing dynamic websites using HTML, CSS, JavaScript, and Python, leading teams to successfully develop and launch over 10 projects.