Jean Nathan Kam
About Jean Nathan Kam
Jean Nathan Kam is a Senior Analyst specializing in Data, Analytics, and Insights at TD Insurance in Montreal, Quebec. He holds a Master of Science in Statistics and has experience in producing reports that guide executive decisions using SQL and PySpark.
Work at TD Insurance
Jean Nathan Kam has been employed at TD Insurance since 2021, currently holding the position of Senior Analyst in Data, Analytics, and Insights. In this role, he produces recurring reports that significantly influence executive decision-making. His work involves utilizing SQL and PySpark to manage and analyze large datasets. He is responsible for transforming complex business questions into actionable insights, which are utilized by various departments including marketing, call centers, and affinity market groups.
Education and Expertise
Jean Nathan Kam studied at Université de Montréal, where he earned a Master of Science in Statistics from 2018 to 2019. Prior to that, he completed his Bachelor of Science in Mathematics and Economics at the same institution from 2014 to 2017. He also obtained a Diploma of College Studies (DEC) in Health Science from Collège de Bois-de-Boulogne, studying there from 2012 to 2014. His educational background provides a strong foundation in data analysis and statistical methods.
Background
Before joining TD Insurance as a Senior Analyst, Jean Nathan Kam worked as a Statistician at Statistics Canada for a brief period of three months in 2019. He also served as an Analyst in Data, Analytics, and Insights at TD Insurance from 2020 to 2021. His experiences in these roles have contributed to his expertise in data analytics and insights generation.
Technical Skills
Jean Nathan Kam possesses extensive technical skills in data management and analysis. He utilizes SQL and PySpark to handle large datasets effectively. His ability to analyze data and derive actionable insights is a key aspect of his role at TD Insurance, where he addresses complex business questions and supports various operational areas.