Yang Y.
About Yang Y.
Yang Y. is a Business Insights Analyst at TD Insurance, specializing in data analysis and financial strategy. With a strong background in software tools and machine learning techniques, Yang has experience in demand forecasting and algorithm optimization.
Current Role at TD Insurance
Yang Y. serves as a Business Insights Analyst at TD Insurance, a position held since 2021. In this role, Yang applies advanced analytical skills to provide insights that inform business strategies and decision-making processes. The focus is on utilizing data-driven methodologies to enhance operational efficiency and support the company's objectives.
Previous Experience in Data Analysis
Prior to joining TD Insurance, Yang Y. gained valuable experience as a Market Data Analyst Intern at Bombardier in 2019, where the role lasted for four months in the Montreal area. Yang also worked as a Business Intelligence Analyst Intern at LinguAI from 2020 to 2021 for five months in Montreal. Additionally, Yang completed a Finance Internship at 华东建筑集团股份有限公司 in 2015 for five months in Shanghai, China.
Educational Background
Yang Y. has a robust educational foundation in finance and analytics. Yang studied at Donghua University, earning a Bachelor of Business Administration (BBA) in Accounting from 2012 to 2016. Following this, Yang attended HEC Montreal, achieving a Master of Science in Business Analytics from 2018 to 2020. Yang also participated in an exchange program at Rotterdam Business School, majoring in Finance from 2014 to 2015.
Technical Skills and Expertise
Yang Y. possesses advanced skills in a variety of software tools essential for data analysis and business intelligence. Proficiencies include Python, R, Stata, SPSS, SQL, SAS, Power BI, Tableau, Visual Basic, and the Microsoft Office Suite. Yang has expertise in algorithm optimization techniques, including Parallelism, VNS, Tabu, and Simulated Annealing, which enhance performance and reduce costs.
Analytical Competencies
Yang Y. has a strong foundation in both explicative and predictive analysis, utilizing machine learning techniques such as Regression, Classification, Decision Trees, SVM, and Neural Networks. Yang is experienced in demand forecasting using various methods, contributing to strategic decision-making processes within organizations.