Shanwen Yan
About Shanwen Yan
Shanwen Yan is a Data Analyst at Semios in Vancouver, British Columbia, with expertise in mathematics, statistics, and data analysis tools. He holds a Master's degree from Simon Fraser University and has experience in various analytical roles, including a previous position as a Teaching Assistant.
Work at Semios
Shanwen Yan has been employed at Semios as a Data Analyst since 2021. In this role, he utilizes his expertise in data analysis to support the company's objectives. Previously, he worked as a Data Analyst Coop at Semios in 2019 for three months, where he gained valuable experience in the field. Semios is known for its innovative approach to agricultural technology, and Yan contributes to the analysis and interpretation of data to enhance decision-making processes.
Education and Expertise
Shanwen Yan holds a Master's degree in Mathematics from Simon Fraser University, which he completed from 2017 to 2020. He also earned a Bachelor's degree in Mathematics and Statistics from The University of Edinburgh from 2015 to 2017. Additionally, he obtained a Bachelor of Science in Applied Mathematics from Dalian University of Technology from 2013 to 2015. His educational background provides him with a strong foundation in mathematical concepts, which he applies in his data analysis work.
Background
Before joining Semios, Shanwen Yan worked at Maersk Line, Limited as a Customer Service Agent and Sales Support for two months in 2016 in Dalian, China. He also served as a Teaching Assistant at Simon Fraser University from 2017 to 2019, where he assisted in the instruction of mathematics courses. His diverse work experience has equipped him with skills in customer service, teaching, and data analysis.
Technical Skills
Shanwen Yan possesses advanced knowledge in various programming and analytical tools. He is proficient in using TensorFlow with Python for machine learning applications. His expertise extends to data visualization and analysis using Periscope Data. Yan is skilled in optimization problems, utilizing Gurobi/AMPL, and has experience with Bayesian analysis using WinBUGs. He also specializes in linear programming and Bayesian statistics, and is proficient in Julia for technical computing.
Graduate Projects
During his academic career, Shanwen Yan completed a graduate project focused on discrete time modelling of kidney blood flow using MATLAB. This project reflects his ability to apply mathematical concepts to real-world problems, demonstrating his analytical skills and understanding of complex systems.