Welcome to Mike’s data science portfolio! Below are selected projects that showcase my work in applied machine learning, behavioral analytics, geospatial modeling, and stakeholder-driven insights.

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Featured Projects

• Voter Behaviour: predictive modeling and interactive dashboards to guide civic engagement strategy.

• MUFASA: a modular machine learning pipeline for multi-component feature extraction and classification.

• CRISPy: a ridge detection tool designed for segmenting complex, high-dimensional spatial datasets.

• InsightAtlas: Geospatial dashboards for mapping regional behavioral trends and supporting field planning.

• Business Forecasting: a flight price forecastor built using XGBoost and statistical inferences.