Liam Huang
About Liam Huang
Liam Huang is a Data Scientist who specializes in guiding data science projects from research to implementation. He has a background in statistics from Miami University and has identified significant revenue losses through analytics in his current role at American Electric Power.
Current Role at American Electric Power
Liam Huang currently serves as a Data Scientist at American Electric Power, a position he has held since 2022. In this role, he guides data science projects from initial research and development to companywide implementation. He acts as a conduit for project stakeholders, providing updates and timelines for various data science initiatives. His work focuses on leveraging data analytics to enhance operational efficiency and drive business decisions.
Previous Experience at American Electric Power
Before his current position, Liam Huang worked as a Data Scientist Associate at American Electric Power from 2019 to 2022. During this time, he contributed to data-driven projects and supported the organization in identifying areas for improvement through analytics. His tenure at the company allowed him to develop a deeper understanding of the energy sector and its data needs.
Internship Experience at Morgan Stanley
In 2016, Liam Huang completed a two-month internship as a Private Wealth Management Intern at Morgan Stanley. This experience provided him with insights into financial services and the application of data analytics in wealth management. His role involved assisting with various tasks that supported the firm's investment strategies.
Education and Expertise in Data Science
Liam Huang studied at Miami University from 2014 to 2018, where he achieved a degree in Data Science with a focus on Statistics. His academic background equipped him with the necessary skills to analyze complex data sets and derive actionable insights. This foundation has been instrumental in his professional development as a data scientist.
Achievements in Data Analytics
Liam Huang has identified significant opportunities for improvement through his analytical work. He pinpointed $500,000 of potential lost revenue and over 2,000 pieces of defective equipment annually through data analytics. This achievement highlights his ability to leverage data to drive business outcomes and enhance operational performance.