About Me
I’m a fourth-year Statistics & Data Science major with a Mathematics minor at UCLA, passionate about using quantitative methods to solve complex problems. My experience spans financial analytics, AI engineering, and predictive modeling, with a particular interest in applying statistical techniques to real-world challenges.
Based in Chicago and studying in Los Angeles, I’ve developed expertise in data analysis, machine learning, and software development through internships at leading organizations and hands-on projects that combine technical rigor with practical impact.
Education
University of California, Los Angeles | Los Angeles, CA
B.S. in Statistics & Data Science, Minor in Mathematics
September 2022 - June 2026
Relevant Coursework: Statistical Machine Learning, Probability Theory, Data Mining, Computational Statistics, Linear Algebra, Optimization
Professional Experience
PNC Bank | Pittsburgh, PA
Quantitative Analyst Intern | May 2025 - August 2025
- Developing quantitative models for risk assessment and financial forecasting
- Analyzing large-scale financial datasets to identify trends and patterns
- Collaborating with senior analysts on strategic decision-making initiatives
Sparrow Golf | Remote
AI Engineering & Business Operations Intern | April 2024 - April 2025
- Engineered AI-driven solutions to optimize golf training and performance analytics
- Designed and implemented data pipelines for real-time performance tracking
- Collaborated cross-functionally to align technical capabilities with business objectives
Cirque Analytics | Remote
Data Analyst Intern | April 2023 - July 2023
- Conducted exploratory data analysis on customer behavior and market trends
- Created interactive dashboards and visualizations to communicate insights to stakeholders
- Automated data collection and reporting processes, improving efficiency by 40%
Skills & Tools
Programming: Python, R, SQL, JavaScript, MATLAB
Data Science: Statistical Modeling, Machine Learning, Predictive Analytics, Data Visualization
Tools & Technologies: TensorFlow, scikit-learn, pandas, ggplot2, Tableau, Git
Featured Projects
Explore my Projects page to see detailed work including:
- U-Know-Uno: A probabilistic Uno card game solver using Monte Carlo simulation
- Big 10 Transition Analysis: Predictive modeling of college football performance metrics
Connect
I’m always interested in discussing data science opportunities, quantitative research, or potential collaborations. Feel free to reach out via email or connect with me on LinkedIn.