Experiences

Honors B.S. in Applied Mathematics and Statistics; Minor: Computer Science | GPA: 3.97/4.00 | Aug. 2023 - May 2026

• Honors and Awards: Dean’s List; American Statistical Association (ASA) DataFest Best Visualization Award (2025)

• Relevant Courseworks:

  • Multivariable Calculus

  • Linear Algebra

  • Differential Equations

  • Discrete Mathematics

  • Numerical Analysis

  • Mathematical Statistics I/II

  • Linear Optimization (Spring 2026)

  • Graph Theory (Graduate Class)

  • Java/R/Python Programming

  • Data Science Computing

  • Experimental Methods

  • Data Structures and Algorithms

  • Computer Architecture/Machine Level Programming

  • Spatial Computing

Data Analysis Intern | Jul. 2024 – Aug. 2024

• Cleaned and visualized ad metrics (impressions, revenue, CPC-conversion) to detect anomalies.

• Built predictive models (LogReg, SVM, RF, XGBoost) evaluated with MAE, RMSE, and R 2 .

• Generated actionable insights to improve ad targeting and ROI.

Co-Founder & President | Dec. 2024 – Present

• Organized research panels and industry events on ethical and applied AI topics.

• Provided mentorship on research, coursework, and career planning in AI and data science.

Workshop Facilitator & Mentor | Aug.2024

• Delivered interactive workshops on leadership, critical thinking, and cross-cultural collaboration.

• Mentored students on global challenges, guiding structured discussions and project-based learning.