Yasin Salimibeni
About Yasin Salimibeni
Yasin Salimibeni is a data scientist with extensive experience in the field, currently working at FreshBooks in Toronto, Canada. He has held various positions in academia and industry, including roles at Capital One, CIBC, and HEC Montréal, and has a strong educational background with an MBA and ABD in Applied Economics.
Current Role at FreshBooks
Yasin Salimibeni currently serves as a Data Scientist at FreshBooks, a position he has held since 2022. In this role, he focuses on developing predictive models aimed at customer acquisition, retention, and churn. He has also automated data transformation pipelines and created internal and external dashboards using Plotly Dash. His work involves utilizing natural language processing (NLP) techniques to enhance machine learning models, contributing to the overall efficiency and effectiveness of data-driven decision-making at FreshBooks.
Previous Experience in Data Science
Prior to his role at FreshBooks, Yasin worked as a Data Scientist at CIBC from 2021 to 2022 and at Capital One from 2019 to 2020. At CIBC, he contributed to various data science projects, while at Capital One, he gained valuable experience in the financial sector. His background in data science is complemented by his earlier role as a Business Intelligence/Data Analyst at Solico Group from 2006 to 2009, where he developed foundational skills in data analysis and business intelligence.
Teaching and Research Experience
Yasin has a strong background in academia, having served as a Teaching Assistant at Northern Illinois University from 2012 to 2013 and as a Part-time Lecturer at HEC Montréal from 2017 to 2018. He also worked as a Research Associate at HEC Montréal from 2014 to 2019 and as a Research Assistant at the National University of Malaysia from 2010 to 2012. These roles allowed him to engage in teaching and research, contributing to his expertise in applied economics and administration.
Educational Background
Yasin Salimibeni holds a Master of Business Administration (MBA) in International Business and Finance from Kish University, which he completed from 2006 to 2009. He also pursued a Bachelor of Engineering (B.E.) in Industrial Engineering at Sharif University of Technology from 2001 to 2006. Additionally, he studied at Université de Montréal - HEC Montréal, where he focused on Applied Economics and achieved PhD in Administration (ABD) from 2013 to 2019. This diverse educational background has equipped him with a solid foundation in both technical and business disciplines.
Technical Skills and Expertise
Yasin possesses practical knowledge in various technical tools and frameworks, including AWS, Dagster, dbt, Hadoop, and PySpark. His expertise extends to machine learning, where he has applied techniques such as natural language processing to improve model performance. His ability to automate data transformation processes and develop dashboards demonstrates his proficiency in data visualization and analytics, making him a valuable asset in data-driven environments.