Building applied economics and business analytics projects using Python, statistics, and real-world data.
Applied economics research, business analytics, causal inference, operations research, optimization, and open-source data science projects.
Advanced econometrics, causal inference, optimization algorithms, and research opportunities in applied economics and data-driven decision making.
Advanced Probability, Mathematical Statistics, Econometrics, Causal Inference, Optimization, Python for Data Analysis, and Scientific Writing.
Lean Six Sigma • Manufacturing Analytics • Process Optimization • Statistics • Business Analytics • Power BI • Python • Operations Research
I moved from steel manufacturing to economics because I became fascinated by how data explains human decisions as well as industrial systems.
