I am a passionate data scientist and machine learning engineer hoping to develop machine learning applications for the better. In some of these projects, I combine my personal and technical passions. The code is available for each project. More to come!
Built an interactive web interface using HTML and PHP that connected to a back end database. It gives the user the options to view the tables in the database as well as select from a list of queries to view more concise results. Unfortunately, the website is unavailable, but check out the code below.
Implemented a Mask RCNN for instance segmentation/classification. Individual frames were extracted from a video and peanut pods were manually annotated using CVAT.
Used Hilbert-Huang Transform and Continuous Wavelet transform to transform given signals. Then, PCA was used to decompose the transformed signals to smaller dimensions. Lastly, the signal matrices were converted to RGB images and were used as input in a TensorFlow Neural Network.
Implemented Latent Dirichlet Allocation using the Gensim library and visualization are shown using pyLDAvis.
Skip gram implementation from scratch. Utilized TensorFlow in order to learn the word embeddings.
Stock Market Prediction App. Allows user to build LSTM model.
Optimize Fantasy Football Lineup using PuLP.
Project Player Fantasy Football points using Monte Carlo simulations
Chat with an AI expert about your YouTube video comments.
Chat with a LLM about sports!