Yi Jin

Yi Jin is a principal data scientist at Rio Tinto in Montreal, Canada. He excels in converting business queries into mathematical challenges and applying cutting-edge methodologies to deliver data-driven solutions. With a passion for applying academic research to real-world issues, Yi Jin promotes innovative problem-solving approaches.

Yi Jin's academic background includes a Master of Science in Business Analytics and Decision Science with Honors from the University of Paris I: Panthéon-Sorbonne, alongside a Magistere in Econometrics and Quantitative Economics also with Honors from the same institution. He holds a Master's degree in Applied Economics from the Paris School of Economics, pursued studies in Econometrics and Economics at National Chengchi University, and earned a Bachelor's degree in Economics and Management - Econometrics summa cum laude from the University of Paris I: Panthéon-Sorbonne. Yi Jin is also certified in French language from 南京大学 and completed his High School Diploma from the High School Affiliated to Nanjing Normal University.

Yi Jin's professional journey features roles such as Principal Data Science at Rio Tinto, Data Science Specialist at Rio Tinto, Technical Analyst / Reviewer at Synced 机器之心, Senior Data Scientist at SSENSE and onepoint, Senior Consultant - Data Science at EY, Quantitative Analyst at Greenwich Statistics, Statistical Analyst at Generali, and Press Editor at Engadget. Outside of his data science endeavors, Yi Jin indulges in interests like photography, Polaroid, astronomy, and geography.