Nathan Zhang
About Nathan Zhang
Nathan Zhang is an Engineering Manager specializing in Data Analysis at Dialpad, where he has worked since 2019. He has a diverse background in data science, engineering, and research, with previous roles at companies such as SAP, Black Duck Software, and Synopsys Inc.
Work at Dialpad
Nathan Zhang currently serves as the Engineering Manager for Data Analysis at Dialpad, a position he has held since 2019. In this role, he manages data infrastructure and pipeline projects, ensuring adherence to engineering best practices such as Continuous Integration/Continuous Deployment (CI/CD) and version control using git. He handles data requests and performs in-depth data analysis to support teams focused on Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Computer Vision (CV). Additionally, he leads a team that develops customer-facing machine learning insights and business intelligence solutions utilizing Looker.
Education and Expertise
Nathan Zhang holds a Bachelor of Science (B.Sc.) degree in Mathematics and Statistics from Shandong University, which he completed from 2009 to 2013. He furthered his education by obtaining a Master of Science (M.Sc.) degree in Electrical and Electronics Engineering from The University of British Columbia, studying there from 2013 to 2015. His academic background provides a strong foundation in data analysis and engineering principles, which he applies in his current role and previous positions.
Background
Before joining Dialpad, Nathan Zhang accumulated diverse experience in various technical roles. He worked as a Technical Consultant at TeejLab Inc. for eight months in 2018, and as a Research Assistant at The University of British Columbia from 2013 to 2015. He also interned at SAP in the Research & Innovation department for six months in 2015. His experience includes a two-year tenure as a Data Scientist at Black Duck Software and a position as a Research Engineer Sr II at Synopsys Inc. in 2018.
Achievements
Throughout his career, Nathan Zhang has developed tools and processes aimed at enhancing data productivity, enabling data scientists to analyze and utilize data effectively. He combines his expertise in data science with knowledge of computer security to create profitable products. His leadership in developing machine learning insights and business intelligence solutions at Dialpad demonstrates his commitment to leveraging data for business growth.