Independently constructed a comprehensive system from the ground up, leveraging nearly 10GBs of historical OHLC data to meticulously backtest a quantitative momentum strategy with SQL and Python. Drawing inspiration from Gray and Vogel's Quantitative Momentum research, this ambitious project spanned 8500+ stocks, executed with resourcefulness on a $0 budget

Empowering option traders and developers alike, 'Option Wiz' transforms complex computations into accessible data, fostering informed decision-making in the dynamic options market. Developed using Python and leveraging the efficiency of NumPy, it stands as a testament to precision and innovation in the realm of options trading.

Designed a Reinforcement Learning agent to solve an optimal policy (Hit or Stand) for the game of Blackjack with a Monte Carlo based algorithm

Compilation of historical studies where I collected historical data to try and find repeated patterns to build out an edge (spreadsheets not included). Currently working on a study for dealing with earnings gaps or other high-volume catalyst events.

A convolutional neural network that utilizes bounding boxes in order to detect objects in given car data. Confidence levels are included in the classification.

CS3500 project where my partner and I were required to build software to enable Image editing. The project was designed such that we did not know about changes required in the future, so we had to build our software such that future changes would not break legacy implementations. Followed the Model, View, and Controller Architecture.

Created an LSTM algorithm to analyze reviews and classify the reviews by sentiment. Also built a player generator (trained on Shakespeare) that takes an inputted word and recursively builds a play for a set amount of characters. Based on Keras data and utilizes TensorFlow documentation.