Steve Mc Coll
About Steve Mc Coll
Steve Mc Coll is a Senior Data Scientist at the Government of Canada, specializing in fraud analytics and operational automation. He has a strong academic background in Knowledge Integration and Economics, and emphasizes ethical practices in his data science work.
Work at Government of Canada
Steve Mc Coll has held multiple positions at the Government of Canada, starting as a Junior Data Scientist from 2017 to 2019. He then progressed to the role of Data Scientist from 2019 to 2020. Since 2020, he has served as a Senior Data Scientist. In these roles, he has focused on fraud analytics, operational automation, and has emphasized ethical practices in data science projects.
Education and Expertise
Steve Mc Coll studied at the Lazaridis School of Business & Economics at Wilfrid Laurier University, where he achieved a degree in Economics from 2011 to 2012. He furthered his education at the University of Waterloo, earning an Honours Bachelor of Knowledge Integration with a minor in Economics from 2014 to 2017. He completed his secondary education at Huntsville High School, obtaining his Ontario Secondary School Diploma (OSSD) from 2007 to 2011.
Background
Before his tenure at the Government of Canada, Steve Mc Coll worked as a Student Data Scientist at the University of Waterloo's NetLab from 2016 to 2017. His background includes a strong foundation in data science, with a focus on interdisciplinary approaches and collaboration to address data-related challenges.
Achievements
Steve Mc Coll has received numerous awards for his contributions to the field of data science. His expertise includes specialization in fraud analytics and operational automation, particularly in anomaly detection and network analytics. He is recognized for his ability to design complex data pipelines and build predictive models using tools such as SAS, R, and Python.