Master of Analytics Scholarship (College of Engineering)

Thesis: Microeconomic model on complexity and quality of financial product (Grade A+)

Thesis: Predicting production times using data mining and machine learning (Grade A)

Activities: College Prefect (Public Relations), Golf Captain, Hockey, Chess, Robotics

• •Built data-driven investment tools (LLM based research).

• •Econ 148: Data Science for Economists (225 students).
• •Led 6 hrs/week of teaching, office hours, exam creation and grading.

• •Conducted process mining for tier-1 automotive supplier (4 plants).
• •Delivered €1.5M savings in three months, identified €10M+ future potential.
• •Implemented 2 analytics apps for a multinational retailer's procurement division.

• •Evaluated startups across SaaS, Analytics, and Biotech sectors.
• •Conducted founder interviews and due diligence processes.

• •Co-designed pilot for first modular "Matrix Production" system (model for global rollout).
• •Analyzed and simulated car assembly processes for EV production.

• •Steel and stainless steel processing training.
• •Metal constructions and stainless steel railings.

• •Berkeley's largest Venture Capital Fund.
• •Focus on data-driven investment tools.

• •Engineering Mechanics 1&2, Microeconomics, Investment & Finance.

• •Public Relations and student leadership role.