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Subway Data Analysis for Street Teams

he objective for this project was to analyze MTA subway data to help deploy street teams to increase participation for a summer fundraiser to encourage more women in tech. My approach was to isolate the subway stations with the most traffic depending on whether it was a weekend or a workweek and which hours and days were best to have street teams in the stations.

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Analyzed 3 years of MTA subway fare data to find correlations between time and traffic volumes.

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