Illya Kochergin
About Illya Kochergin
Illya Kochergin is a Data Scientist at TELUS and an Instructor of Mathematics at BCIT, with extensive experience in business systems analysis and research.
Current Role at TELUS
Illya Kochergin is currently employed as a Data Scientist at TELUS in the Vancouver, Canada area. In this role, he develops predictive analytics models to detect problems early and facilitate the proactive replacement of older equipment. Additionally, he supports performance analysis and builds data pipelines for newer equipment. His work includes engaging in causal modeling to enhance the reliability of Optik TV and Internet services and developing self-healing features for equipment and networks.
Previous Roles at TELUS
Before his current role, Illya Kochergin worked as a Business Systems Analyst at TELUS from 2012 to 2015. Over these three years, he was involved in various projects that supported business operations and systems development, leveraging his analytical skills to optimize processes and improve system performance.
Academic Position at BCIT
Illya Kochergin serves as an Instructor of Mathematics in the Part-time Studies School of Business at BCIT. His responsibilities include teaching mathematics courses that integrate practical applications relevant to business studies, providing students with foundational mathematical skills necessary for their academic and professional success.
Past Employment at BCIT
Illya Kochergin has a long career history with BCIT, having worked as a Senior Research and Information Analyst from 2000 to 2010. Later, he took on the role of a Business Systems Analyst from 2010 to 2012. In these positions, he contributed to the institution's research capabilities and enhanced business systems operations through comprehensive analysis and strategic recommendations.
Educational Background
Illya Kochergin holds two advanced degrees from Donetsk National University. He achieved a Master of Arts (M.A.) in Economics, studying from 1987 to 1992, and a Master of Science (M.Sc.) in Physics, from 1980 to 1985. These diverse academic qualifications provide a strong interdisciplinary foundation, combining the analytical rigor of physics with the strategic insights of economics.
Technical Skills and Tools
In his work, Illya Kochergin utilizes a range of machine learning tools and technologies, including SAS, R, Python, Hadoop, Spark, and Tableau. These tools enable him to derive actionable insights from data, support ad hoc interventions, and enhance the performance and reliability of systems at TELUS.