Derived neural network code from scratch to investigate inner nature of these deep learning models. Created a Vanilla ANN from scratch and used mathematical modeling concepts to create CNN model to…

All experiments I have done with computer vision technology, including OpenCV, YOLO, CNNs, Attention, Segmentation, Object Detection, and more. For educational purposes only.

A Covid19 Data Dashboard built with Javascript, HTML, CSS with the React framework. Displays Covid19 statistics regarding the pandemic to increase public awareness about the statistics.

Sports API collecting all data on matches, players, teams, and live odds based on the NFL, NBA, MLB, and NHL leagues.

R notesbooks used for analysis of actuarial data and to make decisions about portfolios of policyholders.

Using vectorized operations and optimization theory to identify arbitrage in basketball betting at faster speeds to beat the bookmakers.

Research on using markov decision processes in combination with decision tree classifiers to predict outcomes of NFL Football and ATP/WTA Professional Tennis matches and generate descriptive and ac…

Bison Options Futures HFT. Predicts directional pricing movement in SPY and provides indicator data to assist algorithmic trading engine.

Screen for stocks in the SPY500 that yield potentially actionable price pattern setups for options trading.

Backtesting software for intraday and daily timeframe SARIMAX forecasting model. Capable of forecasting on any asset class with backtesting capability across various parameter sets customizable by …

Technical Analysis (TA) investigation with Python. Moving averages included as well as outlier detection using signal processing and smoothing. Included as well is market characteristic detection w…

Generative voice cloning model using TTS synthesis with state-of-the-art Zero-Shot Multi-Speaker functionality. An web api built with the YourTTS TTS model to clone and generate realistic audio waves

Streamlined python package API providing developers the ability to create custom algorithmic and quantitative trading strategies to drive actionable returns.

Predicting asset prices' directional movements based on implied volatility of price action. This experiment was performed on SPX index fund with VIX as implied volatility reference.

Created simple Svelte application to record user feedback and simulate writing comments and the liking feature. First experiment with frontend frameworks and web development.

Learned basics of Svelte components, frontend framework usage, as well as review on Javascript concepts used in future Svelte applications.

Emotional Intelligence and Music data analysis project. Consisted of searching for Pearson R correlations, Chi squared testing, and extended data visualization.

Neural Architecture Search experimentation on various image recognition datasets (MNIST, FashionMNIST, FOOD101). The concepts of NAS are implemented in PyTorch and Microsoft NNI including hyperpara…

Whatsapp chatbot that allows users to interact with Covid-19 data, find nearest testing centers, and discover credible organization for more information.

Reinforcement learning agent for Othello board game implemented in AI. All code is written from scratch to investigate inner workings of RL algorithms. Project was done in completion of Columbia Un…