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Jules Zielinski

Forensic Data Analytics Consultant at KPMG Canada

Jules Zielinski is a dedicated Masters of Management in Analytics student with a strong interest in data interpretation using machine learning and artificial intelligence. Currently, Jules is employed at KPMG, focusing on investigating individuals and analyzing money flow for various clients. Jules possesses expertise in coding languages like Python, R, and SQL, and is proficient in using Machine Learning models such as Random Forest, KNN, GBT, LASSO, ANN, CNN, and AdaBoost. Jules is skilled in data visualization tools including Power BI, SPSS, Data Studio, and LaTex. With a rich educational background, Jules pursued a Master's degree at McGill University, a Bachelor's degree in Management Information Systems and Analytics at the University of Ottawa, and studied Business/Commerce at Marianopolis College. Jules has valuable work experience, having served as a Forensic Data Analytics Consultant at KPMG Canada, a Data Science Consultant at OVA AI, a Teaching Assistant at McGill University, a Data Science Consultant at Desjardins, and an Administrative Assistant at the House of Commons of Canada. Jules thrives in team environments, always eager to learn and collaborate with colleagues to gain new perspectives and insights.

Jules Zielinski
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Location

Montreal, Quebec, Canada