About Me

I graduated with a Masters in Computer Science with a specialization in Intelligent Systems and Algorithms/Theory from the University of Texas at Arlington back in 2022. Currently, I am working as a Data Scientist for the NOAA.

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Work Experience

My work history, industries I have worked in, and such.

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Skills

Single-page showcasing my skills and related projects.

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Articles

Articles about machine learning, data, and my general love for programming.

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Portfolio

The top five projects that showcase my abilities across the Artificial Intelligence domain. Feel free to browse my entire collection on my portfolio page.

Colorblind AI

Personal Project - A CNN that predicts the number present in a colorblindness test (Ishihara Plate) image. The model achieved 99% accuracy on the custom dataset, and is deployed as a WebApp.
Created due to everyone asking me
'You're colorblind?! What color is this?'

Repo WebApp Article

Estimation Of Daily Bicycle Traffic Using Machine And Deep Learning Techniques

Research Paper - This project covers various ML/DL methods to predict bicycle counts at intersections in the city of Portland, Oregon.

Repo Paper

Bike-Share Analysis Case Study

Case Study - Capstone Project for the Google Data Analytics Professional Certificate, in which I analyzed how Citi Bikes are used in New York City.

Repo View Report

Sinatra Lyrics Generator RNN

Personal Project - Uses a character-level RNN to generate Frank Sinatra Lyrics. Custom lyrics dataset scraped from Genius. Trained on 80 epochs, achieved loss of only 0.09. Check out the deployed model on the WebApp.

Repo WebApp Article

Employee Attrition Using Decision Trees

Personal Project - Iterates through various classification tree methods on a number of features in order to predict whether an employee will churn. The XGBoost model achieved 89.8% accuracy.
Model is also deployed as a WebApp.

Repo WebApp