π Master's in Data Science and Analytics @ Toronto Metropolitan University (Graduating September 2026)
π Data Analyst & Data Scientist β turning messy data into decisions
π οΈ Data Analytics, NLP, Deep Learning, Computer Vision, and Machine Learning
π Based in Toronto, Canada-
Languages: Python | R | SQL | MATLAB | C++ | PySpark
ML/DL: PyTorch | TensorFlow | Keras | Scikit-learn | PennyLane
NLP & LLMs: LangChain | HuggingFace | FAISS | ChromaDB | Groq | OpenAI | Gemini | Mistral | Claude
Data & Viz: Pandas | NumPy | Matplotlib | Seaborn | Power BI | DAX | Power Query
Databases: SQL Server (T-SQL) | SSMS | SQLite | PostgreSQL
Tools: Git | Docker | Google Colab | Streamlit | Jupyter
ποΈ SQL Data Warehouse Project
Modern data warehouse built in SQL Server using the Medallion Architecture (Bronze β Silver β Gold). Covers ETL pipelines, data cleaning/standardization, and a star schema data model exposed as views for analytics.
Multi-task deep learning framework for forensic bloodstain classification using EfficientNet-B0, ResNet-50, and ViT with physics-constrained HSV/YCrCb preprocessing, Grad-CAM/SHAP explainability, and bloodstain-age estimation. π§ Master's Research Project @ TMU
β¨ GlowSense
Sentiment analysis on product reviews, using datasets sourced from Hugging Face and Kaggle to classify customer sentiment and surface insights from review text.
CNN, VGG16, and Hybrid Quantum ML models trained to detect phase transitions in the 2D Ising model, benchmarked against Onsager's exact critical temperature (Tc β 2.269). Built with PyTorch and PennyLane.
Multi-provider RAG chatbot supporting OpenAI, Gemini, Claude, Mistral, and Groq β built with LangChain, ChromaDB, and HuggingFace embeddings. Supports PDF, DOCX, XLSX, and PPTX ingestion. π§ Actively developed as part of MRP at TMU.
ML pipeline for health risk prediction using lifestyle data from Kaggle. Covers data preprocessing, feature engineering, and classification models in Python.
- π§ MRP Research @ TMU β Bloodstain Pattern Analaysis tool
- π Finishing Master's in Data Science (August 2026)
- π Building my data science/analytics portfolio