Menglu Huang
About Menglu Huang
Menglu Huang is a Data Scientist with a background in economics and statistics, currently employed at E Source since 2021. She has held various analytical roles, including positions at APPRISE, Open Learning Initiative, and Yelp, and has expertise in natural language processing and data modeling.
Current Role at E Source
Menglu Huang has been working as a Data Scientist at E Source since 2021. In this role, she specializes in various data science methodologies, including people analytics segmentation, risk analysis, and energy usage load profiling. Her responsibilities include monitoring the entire data science life cycle of modeling, which involves conducting weekly sprints and code reviews to ensure the quality and efficiency of data-driven projects.
Previous Experience at APPRISE
Prior to her current position, Menglu Huang worked as a Policy Analyst at APPRISE for five months in 2020. During her time in Princeton, New Jersey, she contributed to research and analysis projects that informed policy decisions. Her role involved applying analytical skills to evaluate data and provide insights relevant to policy development.
Educational Background
Menglu Huang holds a Bachelor's degree in Economics from Boston College, where she studied from 2016 to 2019. She furthered her education at Carnegie Mellon University, earning a Master's degree in Statistics from 2019 to 2020. Her academic background provides a strong foundation in quantitative analysis and statistical methods, which she applies in her professional work.
Analytical Projects and Skills
Menglu Huang has spearheaded significant analytical projects, including one that utilized natural language processing to analyze survey and demographic data. This project aimed to identify key factors influencing customer satisfaction and retention. Additionally, she built a time series analysis pipeline that integrated new business projects across various levels of service territory, showcasing her expertise in handling complex data sets.
Experience in Teaching and Research
In addition to her analytical roles, Menglu Huang served as a Teaching Assistant at Carnegie Mellon University from 2019 to 2020. This position allowed her to support students in their learning while reinforcing her own understanding of statistical concepts. Earlier in her career, she worked as a Research Assistant at the University of Pittsburgh for three months in 2016, contributing to research initiatives in the Greater Pittsburgh Area.