Hi, I'm Isaac
Software Engineer

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Lifelong Indiana University fan, and I will never turn down Italian food and a glass of wine.


Check out my favorite wines

About Me

A picture of yours truly
AWS
C
Docker
Git
GoLang
Infrastructure as Code
Java
NextJS
NoSQL
Python
SQL
Typescript
Salesforce

From a young age, I've always been fascinated by technology, even sketching a GameBoy and excitedly showing it to my parents before I even knew its name. However, my initial exposure was to a summer web design class in sixth grade. I didn't fully understand it and lacked the patience to learn. At that age, I was more interested in sports and it consumed most of my life. It wasn't until high school, when I enrolled in an introductory programming class using Java, that everything changed. The class, focused on exploring algorithms and creating CLI games, finally interested me enough to stick around. This newfound passion led me to pursue a degree in Computer Science at Indiana University, where I studied topics such as operating systems, computer networks, and databases. My interest in the intersection of technology and finance which led me to pursue a degree in Finance at the Kelley School of Business. After two years at the university, I took a break to join a startup called Nostra in NYC. I eventually returned to Indiana University to complete my degree in Computer Science. Now, I'm currently working as a Software Engineer at Deloitte.

Projects

More to come soon!
A photo describing my project

Spotify Recommendation System

Python
Spotipy
Numpy
Pandas
Scikit-learn
Matplotlib
Seaborn

View Project

This project focuses on predicting user preferences for a given playlist by employing three distinct algorithms: Naive Bayes, Random Forest, and K-Nearest Neighbor. Users can input a playlist from Spotify, and the system, in which I played a role, handles tasks such as data cleaning and extracting attributes from the songs. The objective is to facilitate a comparison of the outcomes produced by the different algorithms.