About meA few interesting things about me: I love (1) to read science fiction (Three Body Problem Series so far is my #1 pick), (2) playing ultimate frisbee with friends and bike riding all the city and suburbs of Chicago, and (3) learning. Every day I push myself to learn something new, whether that be about building a website (ironically), data science, or apologetics (think: questions about the Bible).
On top of recently graduating with a degree in Information Systems & Operations Management from Emory Goizueta Business School, I also plan on starting work as a data/BI analyst. I anticipate my work to revolve around utilizing SQL, PowerBI/Tableau, and Python to organize, analyze, and vizualize data—whether the data itself is actively used or actively collecting dust.
“Intuition is the use of patterns...already learned, whereas insight is the discovery of new patterns.” – Gary Klein, psychologist
I leverage Tableau to discover key insights to some of the hardest questions in business.
I utilize Python to develop, optimize, and implement machine learning systems.
I am passionate about understanding diverse consumer behavior—both on a B2C and B2B level.
I enjoy working with others to create strategies worth implementing.
In my free time, I experiment with AI tools like ChatGPT and Casual (think: AI version of Excel).
Take a look at my recent work.
Learned how to...
Maximized the success of sudo-YouTube channel using a dataset with
over 400K trending YouTube videos spanning from 2020 to 2023.
Key insight: if the first video is labeled as "Entertainment" and includes
the keywords “official” or “marvel”, the new video would be predicted to get 5,095,687 views.
Developed a multi-page dashboard utilizing parameters, drop-down menus, and functions to create Treemaps, Box & Whisker Plots, and
Packed Bubbles.
Key insight: the average author making it onto Amazon's Top 100 list achieves a rating of about 4.7, with the
most popular author being Delia Owens (1.7M overall reviews).