Work Experience

Student Association

Software Developer Intern
February 2019 - May 2021
My primary role at the Student Association involved creating internal tools and systems that boost the productivity of Student Association employees through development of new technologies as well as simplification of current ones. In my role, I've led the successful development and deployment of multiple internal web applications. I designed and maintained a digital dynamic database containing easily accessed and current information for over 300 organizations on campus. My responsibilties have included the design, development, deployment, testing, and maintenance of these applications.
Education

Pace University

Dates: August 2022 - Expected December 2024
Major: Data Science
Degree: Master of Science

Binghamton University

Dates: February 2019 - May 2021
Major: Mathematics
GPA: 3.2 / 4.0
Degree: Bachelor of Arts
Graduation Date: May 2021
Extracurriculars: Member of HackBU, K-Family Relations Committee Chair
Skills
Programming Languages
Python
JavaScript
TypeScript
SQL
C++
Java
Web
React
Node.js/Express.js
HTML
CSS/SCSS
PHP
Cloud
AWS (EC2, S3, Lambda, Amplify, ECR)
Firebase
Docker
Databases
MySQL
Redis
Oracle
MongoDB
Miscellaneous
Version Control (Git/GitHub)
LaTeX
Projects
NBA All-Star Player Recognition
In this project, I used haar cascade to create an accurate face classifier. Also used data scraping and data cleaning methods to obtain an up-to-date dataset along with a browser interface to achieve an efficient, useful and visually appealing project.
Python
Machine Learning
HTML
CSS
Javascript
AWS
Deep Analysis of Dataset within NBA 2k20
Explored and Analyzed multiple features within a given dataset based off each player in the NBA2k20 video game. Examined collinearity and normality.
Python
Stastical Analysis
Data Visualization
Detect Sentiment of Youtube Titles
Using Youtube API to gather data on a specific channel, created a model to determine the sentiment of a given Youtube title. Also explored data on whether or not there exists a correlation between the sentiment of a Youtube title and the statistics of that Youtube video.
API
Python
Machine Learning