Transforming complex financial & operational datasets into actionable intelligence through machine learning, predictive modeling, and end-to-end data science workflows.
Built classification & regression models to predict payment behavior and detect operational anomalies within large-scale financial datasets at MJR Capital.
Designed end-to-end data pipelines using Python & Power Automate, transforming multi-source financial data with validated quality checks.
Trained deep CNN models on 35,000+ annotated agricultural images for Agriculture & Agri-Food Canada, enabling early-stage disease detection.
Integrated Python-generated model outputs with DAX measures to build real-time dashboards monitoring KPIs, risk indicators, and predictive metrics.
Leveraged AWS S3 & EC2 to store datasets and execute Python analytics & model training tasks in reproducible, scalable workflows.
Built a Django-based web application delivering real-time AI insights to researchers and government stakeholders with secure, scalable access.
Open to data analyst, data scientist, and AI/ML engineering roles.
Based in Toronto, Ontario — available for remote or hybrid.