Developed and deployed ML models to detect anomalous marine activity, enhancing situational awareness by 33.4% with the Department of Defense. Accelerated data processing and boosted accuracy by 33.25%, automating 40% of tasks. Published research to advance security strategies.
Learn More!Developed a full-stack personal finance website using Flask and React with Natural Language Processing (NLP) and voice recognition. Enabled verbal expense input and automatic budget updates, enhancing ease of use.
Learn More!Developed a Python-based data science tool using TensorFlow and the OddsJAM API for predictive modeling with Naive Bayes, Neural Networks, and Linear Regression, achieving a 34.49% return on investment in 5 months.
Learn More!Developed a JavaFX program where users have five attempts to guess a word. If they correctly guess the word, they win the game; otherwise, they lose. The program provides hints based on previous guesses, indicating the correct locations of letters and where they are not. Additionally, the project calculates and displays a relative score comparing the user's performance to others who played the game.
Learn More!Built a full-stack, engaging learning experience with a dynamic front-end using modern design principles, habit formation techniques, and web services with HTML, CSS, JavaScript, and Node.js (Express + Socket.io).
Learn More!Designed and Implemented technical investment strategies using VWAP, RSI, MACD, Stochastic RSI, and Volume indicators in PineScript to provide support when making trading decisions in financial markets. Gained extensive knowledge in algorithmic stock trading by analyzing and evaluating stocks and funds, applying quantitative methods for backtesting and risk management.
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