About Me
Name: Fahd
University: University of Toronto
Program: Bachelor of Applied Science in Industrial Engineering
Projects
League of Legends Outcome Predictor
Built an ML model using Python and Pandas to predict match outcomes based on player stats; utilized Random Forests and XGBoost for feature importance.
Music Genre Classifier
Developed a CNN in PyTorch to classify music genres from audio spectrograms with data augmentation and transfer learning.
Clothing Recommendation System
Built a collaborative-filtering engine with LLM-powered prompts to suggest outfits based on user preferences.
Traveling Salesman Optimization
Implemented nearest-neighbor heuristics in Java to solve TSP, evaluating solution cost and computation time across graphs.
Reversi AI Game
Designed a C-based Reversi game with a minimax AI using alpha-beta pruning and custom data structures.
Risk Decision Tool
Built a decision support system using logistic regression and decision trees with SMOTE for class imbalance and feature engineering.
Review Sentiment Analysis
Engineered a sentiment analysis pipeline using NLTK and Hugging Face Transformers to classify customer reviews.
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