James Luo
About James Luo
James Luo is a Data Scientist at CIBC with a background in finance and data analytics, holding degrees from Sauder School of Business and Schulich School of Business.
Company
James Luo is currently working at CIBC as a Data Scientist. He began his tenure at CIBC in 2021. CIBC is one of the prominent banks in Canada known for providing a wide array of financial products and services. James has had a history with CIBC, where he initially started working as a Data Analyst in Advanced Analytics from 2020 to 2021.
Title
James Luo holds the title of Data Scientist at CIBC. In this role, he leverages his expertise in data analysis and machine learning to provide actionable insights that foster decision-making and strategy within the bank. His current position continues to build on his extensive background in advanced data analytics and business intelligence.
Past Professional Experience
Before becoming a Data Scientist at CIBC, James Luo worked at Slalom as a Data Science Intern from 2019 to 2020 for 7 months, gaining practical experience in data science projects and analytics. Additionally, he worked at IBM as a Data Analyst Intern in 2017 for 7 months, where he honed his skills in data management and analytics in a professional setting. Early in his career, he also interned at Algorithmics Inc., a financial risk management firm based in Toronto.
Education and Expertise
James Luo holds a Master of Business Analytics from Schulich School of Business - York University, which he completed between 2013 to 2018. He also earned a Bachelor of Commerce (B.Com.) with a focus on Finance from Sauder School of Business, completed between 2019 to 2020. Throughout his academic journey, he developed skills in VBA, SQL, Python, SAS, Tableau, and various Machine Learning algorithms.
Skills and Tools
James Luo has developed a strong skill set in various tools and programming languages essential for data science and analytics. He is proficient in VBA, SQL, Python, SAS, and Tableau. Moreover, he possesses expertise in applying various machine learning algorithms to solve complex data problems. These skills have been utilized in various roles throughout his career to produce meaningful insights and drive business decisions.