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Data Science & Statistics Lover | Break Through Tech Fellow @ MIT | Presidential Scholar @ BU
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pySIPNET
May 21, 2026 – Present
Python interface to the SIPNET (Simplified Photosynthesis and Evapotranspiration Model) land surface model
View Projectvsem-active-subspaces-research
April 9, 2026 – Present
Repository associated with Spring '26 Data Science Research with Professor Jonathan Huggins in Active Subspaces for Land Surface Models
View ProjectRestaurant-Recommendation-System
August 2, 2025 – August 2, 2025
A restaurant recommendation system leveraging statistical models. This project implements and compares Decision Tree and K-Nearest Neighbors (KNN) to predict restaurant choices based on user preferences (price, food & service ratings). It evaluates model accuracy and demonstrates personalized recommendations.
View ProjectAAL-Stock-Seasonality-Analysis
August 1, 2025 – August 1, 2025
Analyzes two years of American Airlines (AAL) stock prices for seasonal patterns. It models the time series using a 6th-degree polynomial regression, identifies turning points with the Newton-Raphson method, and calculates the seasonality frequency in trading days. The analysis is supported by visualizations of the raw data and the fitted model.
View ProjectMy-eCornell-Portfolio
August 1, 2025 – August 1, 2025
Includes all Jupyter Notebook Assignments of BTT Machine Learning Foundations
View ProjectWHR-LifeLadder-Analysis
August 1, 2025 – August 1, 2025
Analyzes the factors influencing the World Happiness Report's Life Ladder score. It uses machine learning to explore the relationships between happiness and socioeconomic variables like GDP per capita, social support, and healthy life expectancy. The analysis includes data preprocessing, model training, and an evaluation of feature importances.
View Projectairbnb-superhost-predictor
August 1, 2025 – August 1, 2025
A comprehensive machine learning project demonstrating the full ML life cycle, from data preparation to model deployment. This notebook focuses on building, evaluating, and optimizing a Logistic Regression model to predict Airbnb Superhosts, including hyperparameter tuning with GridSearchCV and feature selection.
View ProjectGoogle_Graph_Analysis
May 2, 2025 – May 2, 2025
Analyzes the web-Google.txt dataset using Breadth-First Search (BFS) and degree centrality to uncover structural insights into the graph of web pages.
View ProjectCultural Fit Analysis
The candidate shows initiative through personal projects, which aligns with a proactive culture. The diversity of projects (land surface models, recommendation systems, stock analysis, happiness report, Airbnb predictor, graph analysis) indicates a broad interest in applying data science techniques across different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed or results are unavailable.