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Thorough plan and execution to combat rising carbon emissions in a city using QGIS for geospatial modeling, analyzing public transit and personal vehicle usage trends, forecasting short term and long term changes in temperature, and proposing new bus routes in underserved areas by estimating the population impacted and financial analysis.

Built a cluster of Machine Learning models from scratch that successfully predicted the winner of Super Bowl LIX by pre-processing the openly sourced data, validating the models’ performance, and finally writing an actual predictor that used data such as field conditions, past record, and more.