Django Hello World

Built a stock trading management application that involved designing/building a database and implementing a web front-end. Users can interact with other users as well as analyze their trades. The a…

Predicted the price movement of the Dow Jones, Apple, and Microsoft with 60% accuracy by experimenting with more than 100 ensembles of long-short term memory networks (LSTMs). NLP techniques were e…

The goal of this project was to train and visualize the outputs of a simple Deep Convolutional GAN (DCGAN) to generate realistic-looking (but fake) images of clothing

The Bert Model was Used for Sentiment Analysis. The pretrained model was fine-tuned on a dataset of Google Play Store Reviews

The performance of three different object detection networks was evaluated using Detectron2, Facebook AI’s object detector library.

This project involves classifying musical instruments given a sample of music. The goal was to determine which instrument (e.g. trumpet, violin, piano) is playing.

Performed a differential gene expression analysis with RNA-seq on three immunologically diverse mouse models. Differentially expressed genes were identified and a GO term enrichment analysis was do…

Performed a differential gene expression analysis with RNA-seq that compares the expression in human control breast cancer cell lines with lines treated by silencing the NRDE2 gene. A Salmon + txim…

This project aims to incorporate SIRD dynamics with machine learning techniques to make long term predictions of the spread of COVID-19.

Chest x-rays of COVID-19 positive and negative patients were used to build a neural network classifier that can predict the chance of a patient having the virus

This is a simple chatroom program (with GUI) that utilizes socket programming in both the client and the server's side.

A dataset of Peripheral Blood Mononuclear Cells (PBMCs) was analyzed using clustering and non-parametric methods like PCA.

The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

Decision Tree Classification was explored on Breast Cancer Data.

SciKit Learn's Support Vector Machine and Logisitic Regression models were used to determine the mutation given a set of values for the different genes

This project involves training the Logistic Regression model in the Scikit-Learn Library to classify various features of the iris dataset.

This project solves a Futoshiki Board given an input files using the least number of moves. Backtracking, forward checking, the mrv heuristic, and the degree heuristic was used.

This project solves a 15 puzzle board from an input file using A star graph search

This is a simple analog clock GUI created in Java that utilizes socket programming and threads to get updated time information.