Applied modeling and simulation across finance, business, market research and sport.
A JavaScript based race strategy simulation engine exploring counterfactual scenarios in Formula 1. Models pit stop timing, tire degradation curves, safety car windows, and competitor response to answer: what if Ferrari had made a different call.
JavaScript / Simulation / Race Strategy / Counterfactual Modeling
A JavaScript based race strategy simulation engine exploring counterfactual scenarios in Formula 1. Models pit stop timing, tire degradation curves, safety car windows, and competitor response to answer: what if Ferrari had made a different call.
JavaScript / Simulation / Race Strategy / Counterfactual Modeling
Statistical investigation of NBA shooting streaks using chi square tests and conditional probability models across thousands of sequential shot records. Interactive visualizations translating complex probability outputs into clear narratives.
Python / Chi-Square / Plotly / Conditional Probability / Jupyter
Multi dimensional performance analysis of franchise operations combining financial, operational, and customer data. Identifies key drivers of franchise level variance and builds a predictive framework for performance forecasting.
Python / Jupyter / Regression / EDA / Business Intelligence
Conjoint analysis and multinomial logit models to rank consumer preference drivers and identify highest conversion investor segments. Simulation backed sensitivity analysis identifying the two attributes with strongest influence on conversion.
Python / R / Conjoint Analysis / Multinomial Logit / Market Research
Monte Carlo and probabilistic simulation models applied to gateway financial scenarios. Builds distributional forecasts and confidence intervals around complex multi variable business outcomes.
Python / Monte Carlo / Simulation / Probability / Jupyter