About Me

By the age of 13, I left the comfort of my family and moved to a new country to grow both as a person and as a tennis player. Learning a new language, adapting to a different culture, and managing life on my own—down to the smallest things like figuring out how to do laundry—forced me to grow up quickly. Balancing 20+ hours a week of training, traveling for tournaments, and keeping up with school wasn't easy, but it taught me resilience, discipline, and how to thrive under pressure. Today, I'm a D1 tennis student-athlete on scholarship, pursuing my Computer Science degree with a Mathematics minor and Big Data Analytics concentration.

This early independence gave me a strong sense of purpose, especially for someone my age. The experience instilled in me a confidence in my own abilities, a deep appreciation for others, and a natural ability to empathize with them. My parents are both judges, so dinner conversations often revolved around complex cases and the human stories behind them. Those experiences sparked my fascination with uncovering patterns others might overlook and finding solutions that truly matter. That's what drew me to data science—the chance to use AI and analytics to address social justice challenges and help people in meaningful ways.

I love long hours and high stress—this is where I thrive. Give me an impossible job, a laptop, and an energy drink, and I'm where I do my best work. Whether it's a long night coding, an intense hackathon, or fighting my way through a tough tennis match, challenges don't drain me—they give me purpose. I like pushing myself and staying busy, always searching for ways to grow and contribute.

I’m drawn to data science to uncover how bias shows up in human judgment, shaping outcomes in law and everyday decision-making. While models tend to mirror human tendencies, the real challenge lies in the data that shapes them. I aim to classify these biases by applying supervised learning and natural language processing, making them visible in ways that support greater fairness and transparency. Over the next year, I will be developing technology that serves people with integrity and purpose by shedding light on patterns of injustice.

Technical Skills

Programming Languages

PythonRJavaScriptBash

Machine Learning & AI

Scikit-learnTensorFlowPyTorchAWS SageMaker

Data Engineering & Tools

PandasNumPySparkHadoopSupabaseFastAPI

Data Visualization

MatplotlibSeabornggplot2

Cloud & DevOps

AWS

Version Control & Collaboration

GitGitHub

Mathematics & Statistics

ProbabilityLinear AlgebraCalculus

Data Analysis & Visualization

Proficient in statistical analysis, data visualization, and extracting meaningful insights from complex datasets.

Machine Learning & AI

Experience with supervised learning, RAG systems, classification models, and AI-powered applications.

Data Engineering

Skilled in database design, SQL, data preprocessing, and building robust data pipelines.

Statistical Modeling

Strong foundation in statistical methods, predictive modeling, and quantitative analysis techniques.

Education & Achievements

Academic background, awards, and certifications

Bachelor of Science in Computer Science
Fairleigh Dickinson University, Teaneck, New Jersey
Anticipated May 2026
GPA: 3.95
Big Data AnalyticsMathematics Minor
eBay Innovation Scholarship
March 2024 • $5,000

Selected as one of only 4 students out of hundreds in a national hackathon called Battle of the Brains.

Certifications

Stanford Online

Supervised Machine Learning: Regression and Classification

August 2025
IBM

Introduction to Artificial Intelligence

June 2024