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Data
Analysis
When it comes to data analysis, the ability to reason about data, communicate it efficiently to others, and provide valuable insight on strategic decisions is key. The power of data and the fortitude that it holds has always excited me. Take a peak at just ~a few~ of the cool things I've done with data.
"Working-from-home: how's it working?" : An analysis on how managers can keep their employees committed in a shift to remote work
When COVID-19 struck, organizations scrambled to shift their employees to working-from-home; 82% of employees reported feeling exhausted and burnout from telework. I set out to understand how managers could keep their employees committed in a rapid change to virtual work.
Spoiler alert: it takes a bit individualized consideration, a sprinkle of inspirational motivation, quite a bit of idealized influence, and intellectual stimulation.
Improving the Online Experience Web Performance Analytics for Thunderbird
I analyzed 4 months of Google Analytics Data to address and make recommendations for the following
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Improve the effectiveness of display/ sponsored-ads placement
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Increase traffic to the programs by 25%
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Improve conversions (download an application form) by 30%
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Using R for Data
Find out how I used R to analyze everything ranging from calories, absenteeism in school, and NASA shuttles.
The Re-Strategization of Forbes Street Market
In a Marketing Research course at the University of Pittsburgh, I took a real-world problem for a local business and conducted exploratory research to make data-based recommendations.
Spoiler alert: I chose to work with Forbes Street Market, a new local grocery market on Pitt's campus, who launched with big expectations, yet fell short. Through focus groups and two surveys, I discovered that Forbes Street Markets' products were priced too high for its target audience and recommended a food-delivery complimentary service.
