Halifax, Nova Scotia, Canada
Machine Learning Engineer | Data Scientist | Coder | Musician | Fan of good food.
Managed AI initiatives that secured $3 million in research funding. Developed real-time AI fish counting system, leading to successful company product launch. Architected cloud ML-Ops feedback system for automatic model monitoring and retraining. Directed the development of client-facing dashboards to highlight production AI functionalities.
Led R&D team to develop AI based agricultural computer vision software products. Attained a 90% reduction in data processing costs through innovative AI system research. Directed multiple agriculture AI projects from R&D to market-ready software. Engineered cloud ML-Ops system for automated model optimization and re-training.
Led team of 5 data scientists in the development, validation and productionization of machine learning models related to athlete injury/performance in the NBA, NFL, MLB and NHL. Worked with NRC-IRAP to secure >400k in funding to build and integrate a competitive predictive analytics platform in the company's current platform. Developed advanced proprietary pre-processing algorithms to be integrated into the company's platform Designed parallelization algorithms and strategies required for real-time big-data processing. Leveraged advanced machine learning models derived from the R statistical software open-source community to gain valuable insights from the company's numerous data-feeds. Ensured the company remained at the cutting edge of data science through constant academic literature review into new and upcoming statistical methodologies. Provided client with updated daily predictive analytic reports, 7 days a week.
Team Lead on daily analytical client-driven projects and procedures. Derived profitable insights from hidden patterns found in data. Teleconference with clients to translate and discuss finding relevance. Cutting edge statistical techniques. Developed Industrial leading interactive reports and data visualizations. Client-partnered academic publications to provide industrial validation. International conferences.
Developed, directed and supervised the data team on analysis plans. Built complex predictive statistical models on a weekly basis. Used novel methods to searching for meaningful patterns within datasets. Extensively processed raw data prior to analysis. Published papers and presented at international conferences. Explained complex findings to non-mathematical clients.