Featured Projects
🧠 Human vs AI Text Classifier
Built a machine learning model to classify text as human-written or AI-generated using a custom dataset I created and published on Kaggle (2,500 human-written vs 2,500 AI texts).
Tools: TF-IDF, Joblib, Logistic Regression, SVC, Naive Bayes, Random Forest
View on GitHub | View on Kaggle
💼 Equity Portfolio Optimization (R)
Simulated portfolio rebalancing using historical stock price data for a $5 million equity fund. Evaluated daily vs. periodic rebalancing performance.
Tools: R, Portfolio Theory, Time Series
View on GitHub
☁️ AWS MovieLens MapReduce
Deployed Hadoop on AWS EC2 and executed a MapReduce job to analyze 1M+ ratings from MovieLens dataset using custom Java classes.
Tools: Java, AWS EC2, Hadoop, MapReduce
View on GitHub⚡ Spiking Neural Networks with PyTorch
Led implementation of SNNs using PyTorch and Norse, benchmarking performance against traditional ANNs using SHD/N-MNIST datasets.
Tools: Python, Norse, Deep Learning, SNN
View on GitHub🧬 COVID-19 Case Forecasting
Forecasted COVID-19 regional case trends using LSTM deep learning models to detect surges and support health planning.
Tools: Python, Pandas, LSTM, ML
View on GitHub🏠 House Price Regression (R)
Built a regression model using R to predict housing prices based on historical housing data. Focused on preprocessing, model tuning, and evaluation using performance metrics like RMSE and R².
Tools: R, caret, ggplot2, dplyr
View on GitHub🌌 CMEPredict: GRU & LSTM Model Comparison
Rebuilt and evaluated GRU and LSTM models for predicting solar wind CME events using time series data (12–60 hr windows). Assessed model accuracy using confusion matrices and ROC curves.
Tools: Python, TensorFlow, Keras, GRU, LSTM, Time Series, ROC-AUC, Confusion Matrix
View on GitHub