Data analytics / AI operations / Business innovation
I am a Computer Science student at Memorial University with hands-on experience across data annotation, data monitoring, buying operations, and business innovation. I build clear workflows, useful analysis, and practical AI-enabled systems for teams that need dependable answers.
Current Direction
Data, AI, and analyst rolesFocus Areas
Workflow Signal
Profile
My background combines technical learning, retail and buying operations, data quality, and business analysis. That mix helps me understand both the dataset and the people who need to act on it.
Selected Projects
A lightweight residual CNN for image denoising, trained on synthetic Gaussian noise. The model predicts noise residuals from patch-based image crops and evaluates restoration quality with PSNR, SSIM, and clean/noisy/denoised visual comparisons.
A PyTorch deep learning pipeline for classifying brain MRI images across glioma, meningioma, pituitary, and no-tumor classes using a fine-tuned ResNet50 backbone.
An ongoing research pipeline exploring whether contamination-aware quality/diversity slicing changes low-resource LoRA and QLoRA fine-tuning outcomes.
A live interactive map for comparing Canadian provinces by earning potential, affordability, job-market strength, and future outlook so users can explore where their next career move may fit.
Experience
Jan 2026 - Present
Seafair / Co-op / St. John's, NL
Supporting digital and business innovation work through analysis, documentation, and practical process improvement for on-site teams.
Sep 2025 - Present
Innodata Inc. / Freelance / Remote
Contributing to data maintenance and monitoring workflows with attention to accuracy, consistency, and scalable labeling quality.
Nov 2023 - Dec 2025
Traders Atlantic Inc / Part-time / St. John's, NL
Blended purchasing decisions with analysis, inventory awareness, vendor communication, and operational follow-through in a fast-moving business environment.
Mar 2023 - Nov 2023
Traders Atlantic Inc / St. John's, NL
Assisted buying and merchandising activity while building practical strengths in data analysis, supervision, and cross-team coordination.
Practice
Finding patterns, preparing summaries, and turning raw information into business-ready insight.
Annotation, monitoring, maintenance, and careful review for AI and operational datasets.
Connecting product, inventory, supplier, and customer signals to practical purchasing decisions.
Improving workflows with AI-aware thinking, technical documentation, and useful automation ideas.
Education & Credentials
Memorial University, Newfoundland and Labrador
York University
Compute Ontario
Digital Nova Scotia
Resume
Download a PDF copy of my resume for a concise overview of my experience, education, credentials, and project work.
Download resumeContact
I am interested in data analyst, AI operations, business analyst, and digital innovation opportunities.