U-NET (WIP)
Developing a U-Net segmentation model to extract numeric readings from uploaded water meter images. The model will integrate with the AWS web app to automate data collection from physical sources.
About Me
Hi there! I'm currently a part-time student in Georgia Tech's Online Master of Analytics program, based in Long Beach, CA. I work primarily in Python and JavaScript, and I've built full-stack MERN applications, machine learning models, and automated web scraping pipelines. I've also worked with R, STATA, and Octave for data analysis and statistical modeling. If you've got a problem to solve — I've probably already started building the solution. Let me know how I can help!
Recent Works
AWS Water Meter Logging System
Building a serverless AWS web app to collect and display water meter data by ZIP code, using GeoPandas for filtering and Folium for map visualization.
Airbnb Client Website
Collaborated with a group of developers to create a full stack web application for a client using Next.js, React and Chakra UI
Portfolio Tracker
Built a web application to track the progress of a user's cryptocurrency portfolio using MERN stack, Redux and Material UI
Neural Network: Dog Breed Classifier - Python
Created and trained a convolutional neural network in Python using Tensorflow and Scikit-Learn to classify dog breeds
Neural Network: Text Message Filter - Python
Coded a neural network from the bottom-up in Python without the use of APIs to detect spam text messages
Web Scraping - R
Made a script in R to automatically scrape a website
Get In Touch
Feel free to send me a message via email!