Xiaoyi Huang
About Xiaoyi Huang
Xiaoyi Huang is a Data Analyst at Landed since 2021, with a background in Machine Learning and Electrical Engineering. She holds a MasterTrack Certificate from the University of Chicago and a Bachelor of Engineering from Case Western Reserve University, and is fluent in multiple languages.
Work at Landed
Xiaoyi Huang has been employed as a Data Analyst at Landed since 2021. In this role, Huang applies analytical skills to support data-driven decision-making processes within the organization. The position emphasizes teamwork and responsibility, aligning with Huang's professional values. Over the past three years, Huang has contributed to various projects aimed at enhancing operational efficiency and data management.
Education and Expertise
Xiaoyi Huang earned a MasterTrack Certificate in Machine Learning for Analytics from the University of Chicago in 2020. This program lasted 11 months and provided Huang with advanced knowledge in data analysis techniques. Prior to this, Huang completed a Bachelor of Engineering in Electrical and Electronics Engineering at Case Western Reserve University from 2010 to 2015. This educational background supports Huang's analytical capabilities in both data and engineering contexts.
Background
Before joining Landed, Xiaoyi Huang worked as an Electrical Development Engineer at FMI Medical from 2016 to 2018 in the Cleveland/Akron, Ohio area. This two-year experience involved applying engineering principles to develop electrical systems. Huang's background in engineering complements the analytical skills developed in subsequent roles.
Multilingual Capabilities
Xiaoyi Huang possesses multilingual capabilities, being fluent in English, Cantonese, and Mandarin Chinese. Additionally, Huang has an intermediate understanding of French. This language proficiency enhances communication skills in diverse environments and contributes to effective collaboration within multicultural teams.
Continuous Skill Development
Xiaoyi Huang actively seeks opportunities to enhance skills acquired through education and hands-on training. This commitment to continuous learning reflects a dedication to professional growth and adaptability in the evolving field of data analysis and engineering.