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About me
My name is Dario Cavada
I am a recent graduate of the Master's degree in Business Analytics at Quinnipiac University, where I was also a student-athlete in the NCAA Division I. I left my home country in search of opportunities abroad to continue my studies and compete in soccer at the highest level in the United States. . I achieved that dream thanks to my dedication and discipline, qualities that I now want to apply in the business world.
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With advanced analytical skills and a competitive mindset, I am ready to face and overcome any challenge. If you are looking for someone with passion, determination and strong analytical skills, I am ready to add value and grow alongside your team. Hire me and together we will achieve great goals!
PORTFOLIO
01
This consulting project aims to help 4Goal, a Polish social media platform for football enthusiasts, expand into the US market by leveraging the growing interest in football among American youth. Through extensive market research, we have identified key strategies to position 4Goal as the premier social media platform for football fans in the United States.
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By analyzing data on 1436 Toyota Corollas, this study aims to identify which attributes most significantly affect the car's price. This information can help consumers, dealers, and automakers in understanding the factors that influence car costs.
02
This project, explores the relationship between age and the adoption and perception of AI in the professional community. Using data from the 2023 StackOverflow Developer Survey, it examines how different age groups interact with and perceive AI tools, and how these technologies enhance software developers' ability to predict and adapt to future trends. By employing various analytical models, the study aims to provide insights for creating inclusive AI integration strategies that cater to professionals of all ages, promoting a more inclusive and productive technological environment.
04
This project focuses on improving anti-money laundering efforts through the application of predictive analytics. Using a dataset from People's United Bank, which includes 38,515 transactions from October 2014 to September 2015, we aim to develop and optimize predictive models that identify potential money laundering activities.
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This study investigates the correlation between the success of sports teams and local suicide rates using data from 2010 to 2020. It involves analyzing suicide data from the CDC and win rates of NBA, NFL, and MLB teams.