Yue ( Hailey ) Hu
About Yue ( Hailey ) Hu
Yue (Hailey) Hu is a Business Intelligence Developer with expertise in machine learning and data visualization. She currently works at Global Lending Services LLC and has a strong academic background in Business Analytics and Accounting.
Work at Global Lending Services
Yue Hu has been employed as a Business Intelligence Developer at Global Lending Services LLC since 2020. In this role, she focuses on developing machine learning models, utilizing advanced statistical techniques, and applying data visualization tools. Her work contributes to the company's data-driven decision-making processes. She has accumulated four years of experience in this position, based in Greenville, South Carolina.
Education and Expertise
Yue Hu holds a Master of Science in Business Analytics from Wake Forest University, where she studied from 2019 to 2020. Prior to this, she earned a Bachelor's degree in Accounting from Hangzhou Dianzi University, completing her studies from 2015 to 2019. Her educational background equips her with a strong foundation in data analysis and business intelligence.
Background
Before her current role, Yue Hu gained experience as an intern at Haitong Securities in Shanghai, China, in 2018, where she worked for two months. Additionally, she served as an Assistant at HSBC in Ningbo, Zhejiang, China, in 2017 for two months. These positions provided her with practical insights into the financial sector.
Technical Skills and Tools
Yue Hu is proficient in several programming languages and tools essential for data analysis and business intelligence. She utilizes R, Python, SQL, and SAS for developing machine learning models and conducting analyses. Additionally, she employs data visualization tools such as Tableau and Google Analytics, as well as Matlab and MS Excel for reporting and analysis.
Machine Learning and Statistical Techniques
In her role as a Business Intelligence Developer, Yue Hu develops various machine learning models, including Regression, Decision Tree, Random Forest, and Neural Network. She also applies advanced statistical techniques such as Time-Series Analysis and A/B Testing to enhance business intelligence projects, ensuring data-driven insights for decision-making.