Mirko Miorelli
About Mirko Miorelli
Mirko Miorelli is a Senior Data Scientist currently working at Jungle Scout in Vancouver, British Columbia. He has a diverse background in data science and machine learning, with previous roles at institutions such as The University of British Columbia, FansUnite Entertainment Inc., and Save-On-Foods.
Work at Jungle Scout
Mirko Miorelli has been serving as a Senior Data Scientist at Jungle Scout since 2021. In this role, he applies his expertise in data science to enhance the company's capabilities in e-commerce analytics. His work focuses on developing data-driven solutions that support business strategies and improve decision-making processes.
Previous Experience in Data Science
Prior to his current position, Miorelli worked at Save-On-Foods as a Data Scientist II from 2019 to 2021. His responsibilities included demand forecasting, assortment optimization, and geospatial analysis. He also supervised prototype deployments using Azure Pipelines, Docker, and Azure Container Registry. Before that, he was employed at FansUnite Entertainment Inc. as a Data Scientist/Machine Learning Engineer from 2018 to 2019, where he built regression and classification models for sports betting.
Academic Background
Mirko Miorelli holds a Doctor of Philosophy (PhD) in Theoretical Physics from The University of British Columbia, which he completed from 2014 to 2017. He also earned a Master of Science (MSc) in Theoretical and Computational Physics from Università degli Studi di Trento between 2011 and 2013. His undergraduate studies culminated in a Bachelor of Science (BSc) in Physics at the same institution from 2007 to 2011.
Teaching and Research Roles
Miorelli has experience in academia as well. He worked as a Teaching Assistant at The University of British Columbia from 2015 to 2017. Additionally, he served as a Research Assistant at UBC Sauder School of Business for one month in 2018 and held a position as a PhD Student/Research Assistant at TRIUMF from 2014 to 2017. He also gained research experience as a Summer Research Assistant at TRIUMF in 2013.
Technical Skills and Projects
Throughout his career, Miorelli has developed a strong technical skill set. He has implemented various machine learning algorithms, including SVMs, Naïve Bayes, and Neural Networks for social media sentiment analysis projects at Best Buy Canada and Translink. His work in data science has involved building models using Neural Networks, Random Forest, and Gradient Boosted Trees.