Meng Si
About Meng Si
Meng Si is a Senior Data Scientist and Analytics Team Lead at ZestyAI, with a strong background in SQL and advanced data visualization tools. He holds a PhD in Atmospheric Chemistry from The University of British Columbia and has experience in machine learning, data analysis, and team leadership.
Current Role at ZestyAI
Meng Si currently serves as a Senior Data Scientist and Analytics Team Lead at ZestyAI, a position held since 2023. In this role, Si leads analytics initiatives and manages a team focused on data-driven decision-making. The expertise in SQL, particularly with PostgreSQL and MySQL, is essential for handling large datasets effectively. Si's experience at ZestyAI builds on a previous role as Data Scientist - Analytics Team Lead from 2022 to 2023, where foundational skills in data science were further developed.
Education and Expertise
Meng Si has a robust educational background in data science and related fields. Si earned a Doctor of Philosophy (PhD) in Atmospheric Chemistry from The University of British Columbia, completing the program from 2012 to 2019. Additionally, Si obtained a Diploma in Data Science from Concordia University in 2021. The foundational knowledge in Chemistry was established with a Bachelor's degree from Nankai University, achieved from 2008 to 2012. Si's expertise includes advanced data visualization tools such as Seaborn and Plotly, as well as proficiency in programming languages like Python and R.
Previous Experience at ZestyAI
Before the current role, Meng Si worked at ZestyAI as a Data Scientist - Analytics from 2022 to 2023. During this time, Si contributed to various analytics projects, leveraging skills in SQL and data visualization. This position followed a significant tenure at the University of Toronto Scarborough as a Postdoctoral Fellow from 2019 to 2021, where Si engaged in research and development activities.
Research and Teaching Background
Meng Si has a diverse background in research and education. Si served as a Research Assistant at The University of British Columbia from 2012 to 2019, contributing to various research projects in atmospheric chemistry. Additionally, Si worked as an Instructor for the Vancouver Summer Program at The University of British Columbia in 2019. This role involved teaching and mentoring students, showcasing strong communication and leadership skills.
Technical Skills and Leadership
Meng Si possesses strong technical skills in machine learning frameworks, particularly TensorFlow and Keras, which are essential for developing predictive models. Si's leadership capabilities are evident through experience in leading analytics teams, indicating proficiency in project management and team coordination. The combination of technical expertise and leadership experience positions Si as a valuable asset in the field of data science.