Education

Academic background and coursework.

University of California, Los Angeles

B.S. Statistics & Data Science
Sep 2022 – Jun 2026

  • Strong foundation in probability, statistical modeling, and data analysis
  • Focus on machine learning, analytics, and data-driven decision making
  • Real-world datasets used with R and Python to perform modern modeling techniques
Machine Learning R Python Probability Modeling Sampling
Relevant Coursework
  • Calculus of Several Variables
  • Introduction to Statistical Reasoning
  • Linear Algebra and Applications
  • Programming With R
  • Differential Equations
  • Introduction to Data Analysis and Regression
  • Introduction to Computational Statistics With R
  • Data Science For Social Good
  • Design and Analysis of Experiment
  • Introduction to Regression and Data Mining
  • Monte Carlo Methods
  • Introduction to Text Mining Using R
  • Practice of Statistical Consulting
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Universidad Carlos III de Madrid

Semester Abroad
Aug 2024 – Dec 2024

  • Completed advanced coursework in statistical learning and applied data analysis
  • Developed interpretable predictive models and evaluated performance
Machine Learning R Modeling Probability
Relevant Coursework
  • Statistical Learning
  • Probability and Data Analysis
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