I graduated from the Univsersity of Wisconsin Madison in May of 2024 with degrees in both Data Science and Economics w/ Math Emphasis. With a very successful senior year, I plan to go get a Master's in Data Science to further develop my skills in data visualization, mining, and programming.
Soccer is the sport I spent most of life playing, which gave me the chance to lead as a captain for multiple years and travel to rival states focusing on success. Additionally, outdoor activities such as biking and hiking are enjoyable, and learning how to cook unique foods and bingeing shows takes up some of my time inside.
Working throughout college kept me both occupied and experienced as every job I had, although very different, taught me valuable rules to live that I expressed everyday. At Exact Sciences, my internship presented me with some of the nicest people I have ever met and tasks that taught me many new things along the way.
The number of technical topics to economic theories I learned over the years is immense. I have layed out below what has stuck with me the most and what I believe to be the most important projects and takeaways from my time at the University of Wisconsin Madison.
Used in programming, machine learning, and analysis, Python has built-in packages that I utilized the most in school to performm object-oriented task.
SQL is a querying language used to manage data and can be paired with visualization tools such as Power BI and Tableau, which I used in both school and my internship.
Primarily using sklearn and pandas packages in Python, Machine Learning is a subset of AI that helps teach computers using algorithms. Below is a link to my group project using these packages.
Despite being one of my more difficult classes, Linear Algebra taught me high-level mathematical topics such as metrices, determinants, regressions. These topics were the foundation for a lot of coding practice.
Taught me valuable financial and statistical modeling methods and economic theories that the world practices. The work is mainly done in softwares such as Stata, R, and Excel.
Taught in a unique manner using Linux, Docker, and PyTorch, Big Data simply refers to having too much data to be handled traditionally, which is usually expressed as geospatial or semi-structured data.
Appointed by coach to be varsity captain, helped motivate teammates, run practices, and lead the team to the regional finals.
Graduated from the #1 STEM High School for 2019 according to the Washington Post as a summa cum laude and national honor society member.
After starting college as just an economics students, I decided to also pursue a data science as I entered my third year. This subject has since become my calling and what I hope to practice in the future.
I landed my first professional internship after my junior year and worked as an IT Business Analyst Intern, where I learned several important business practices.
The start of my senior year also consisted of an 8-week long bootcamp through the University of Michigan with an emphasis on Sports Analytics.
Finished college strong with nearly a 4.0 GPA my senior year and graduated with an admirable 3.4 with two degrees in four years.
One of many fellows who joined a startup that is revolutionizing the job market for software engineers and other technical positions.
As I look ahead, there is one thing I am certain on, and that is pursuing a Master's degree in Data Science and potentially an MBA, so I can have advanced skills.
Any feedback or questions that you have either for me or about my website please feel free to send me a message or reach out via social media, phone, or email.
