Gurpreet Mohaar is a Senior Data Scientist with over a decade of applied ML experience, specializing in predictive maintenance, anomaly detection, and process optimization across petrochemicals, oil & gas, mining and government sectors. A Professional Engineer registered in Alberta, he has led end-to-end model development and MLops on cloud platforms and recently focused on GenAI and digitization programs to accelerate industrial AI adoption. His background spans robotics, condition monitoring, and remaining useful life modeling, and he has moved from academic research in hybrid models to productionizing real-time ML for mission-critical assets. Based in Calgary, he combines hands-on engineering with domain reliability practices (FMEA/RCA) and a growing interest in quant and robotics applications, while also exploring sustainability topics outside work.
8 years of coding experience
13 years of employment as a software developer
Master's degree Electrical and computer engineering, Master's degree Electrical and computer engineering at University of Alberta
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