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Overview
I like to think of myself as analytically minded and that I’ve demonstrated a strong ability to deliver complex insights via data analytics and advanced data-driven methods.
Recent Experience
Data Scientist Engineer Advisor – NTT DATA
- Explainable AI for estimating physical security risk for a Fortune 500 healthcare provider’s facilities
- Recommendation system cold start mitigation pipeline and graph embeddings for search augmentation for a top interactive entertainment company
- Ported 4 Azure Synapse models to production Azure ML pipelines in 1 month for a premier soft drink manufacturing company
- Feasibility of GraphRAG built on Azure CosmosDB (internal sales)
- Self-contained open source Llama RAG framework for a leading construction engineering company
Senior AI / ML Scientist – Datasite
- DocChat, an interactive agentic chat with one or more documents in a Virtual Data Room (VDR)
- Fine-tuned open source LLMs for entity extraction and document classification
- Hierarchical taxonomy document classification deep learning model
- Strategic / financial acquisition recommender deep learning model
Data Scientist (Officer) – U.S. Bank
- Stock dividend forecasting
- Explainable AI for predicting failure in mission critical applications
- Anomaly detection for flagging unusual fund transactions in near real-time
- Survival analysis for predicting customer attrition
Founder – Emphysic
- Bootstrapped with NASA funding
- Developed a distributed algorithm for finding damage in aerospace structures, based on computer vision, machine learning, and pipeline parallelism
Data Science Engineer – C.H. Robinson
- Deep learning model for classifying shipping documents. Scanned more than 35,000 documents per day in production with an accuracy of 96%
- Deep learning model for tagging signed vs. unsigned shipping documents
- Procedure for placing ”orphaned” documents with the correct shipment to reduce invoice processing time
Additional Experience
- Data Science Engineer (Contata Solutions, Minneapolis MN): Python and Java software development
- Computational Physics Programmer (AECL, Chalk River ON): Python, Java, and C++ software development
- Applied Physicist (Texas Research Institute Inc., Austin TX): Applied Physics; Python, Java, and C++ software development
Education
Master of Science – Queen’s University Kingston
- Major: Physics
- Thesis topic: effects of initial stress conditions on the magnetic properties of steel
Honours Bachelor of Science – Lakehead University
- Major: Physics with specialization in Energy & Fuel Science
Training
A full list is available here.