Hello, I'm
AI & Operational Healthcare Solutions
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Previous Operations Management Analyst Intern at Walmart
Harvard Medical Research
Bachelor of Science in Data Science - Computational Analytics
Bachelor of Science in Exercise Science - Health/Fitness
DII Men's Soccer Player
Graduated May 2025, Magna Cum Laude
Master of Science in Health Care Analytics and Information Technology
Graduating May 2027
Activities and societies: Heinz Sports Analytics Club, Heinz AI Club, Data Science Club, NOVA AI Hackathon, CMU Hackathon, USC Big Data Health Science Case Competition
Courses: Data Focused Python, Database Management for Policy and Analytics, Health Systems, Applied Econometrics, EDA and Data Visualizations
Programming: Python, R, Java, HTML/CSS/JavaScript
Developer: Visual Studio, Jupyter, Streamlit, FastAPI, Docker, Git, GitHub
Data Visualization: Tableau, Looker Studio, Microsoft Office, Matplotlib, Seaborn
Data Warehousing: PostgreSQL, Google BigQuery, Power Apps
Data Manipulation: Pandas, Numpy, Tidyverse, Beautiful Soup
ML: Scikit-learn, TensorFlow, XGBoost, PyTorch
Statistical Techniques: Random Forest, Multiple Regression, K-means Clustering, Hierarchical Clustering, Time Series Analysis, Econometrics, Probability and Statistics
Currently pursuing a Master of Science in Health Care Analytics and Information Technology at Carnegie Mellon University, with an emphasis on integrating data-driven insights into the healthcare sector. My core skills include SQL, project management, and machine learning, supported by a strong foundation in data visualization and reporting. Dedicated to applying data expertise to improve organizational processes and outcomes.
Prior to this, I graduated from Seton Hill University with a dual focus on Data Science and Exercise Science, leveraging analytical and technical skills to drive impactful outcomes. At Walmart, contributed to optimizing label placement and printing processes at ACC 7377, achieving significant cost savings during the implementation week with a live dashboard showcasing label quality check results. Prior experience includes conducting biomechanical and ergonomic data analysis at Peak Performance Biomechanics, producing actionable reports tailored to client needs.
Currently pursuing my Master's in Health Care Analytics and Information Technology at the prestigious Heinz College, focusing on AI-driven healthcare solutions.
Presenting cutting-edge insights and project optimizations of process, demonstrating leadership in data-driven problem solving.
Graduated Magna Cum Laude with dual degrees in Data Science and Exercise Science, combining technical expertise with health sciences knowledge and research.