Yan Zhu

Operations Specialist @ Sungrow North America

About

I attended to UNCG for my BA and MS degree. During that period, I learned many skills of Statistics. I can collect data by various methods and clean the data set. Meanwhile, I can make data virtualized plots and analysis. In addition, I can build models and classify which one is best fitted. R-studio and SAS are the software that I used most. I practiced my skills in research program. I found the data set of Titanic in Kaggle and classify the best fitted model which can predict the survival chance within "Gender" attribute. I did a research about League of Legends by Latex and R-studio as well. In 2018 summer holiday, I had a Financial Analyst Internship in China Bohai Bank Co., Ltd. at Tianjin in China. During this internship, I could combine my knowledge with business experience together. I also noticed my knowledge of business is not enough. Therefore, I applied for UTD Business Analytics MS Program in 2023. I am interested in manufacturing industry, Data analytics position, especially the works that may use R-Studio, SAS, SQL and Excel.

Country

United States

City

Richardson

Industry

Information Technology & Services

Skill

Website Updating, Invoice Finance, Data Visualization, Python (Programming Language), Statistical Data Analysis, Business Analytics, Statistics, Data Analytics, Mathematics, Creative Writing, Group Work, Teaching Reading, SAS (Programming Language), Consulting, RStudio, Microsoft Excel, SQL, SAS (Software), Microsoft PowerPoint, English

Experience

Operations Specialist

Sungrow North America

2025-11 - Present · 11 mos

美国

Data Entry Manager

Eastern Trading Llc

2025-9 - 2025-11 · 3 mos

Texas, United States

Designed and implemented a SQL database to track and analyze truck mileage, customer payments, and seasonal factors, improving operational efficiency and enabling data-driven decision-making. ▪ Utilized Python to perform analytical assessments of cargo inflow and outflow, evaluating workforce levels to ensure optimal staffing efficiency and cost-effectiveness. ▪ Organized customer information and service requirements using QuickBooks and integrated the data into a SQL database to logically analyze profitability and support business growth. ▪ Collaborated with finance and operations teams to reconcile billing issues and prepare detailed monthly invoice reports for management.

M.S. Business Analytics

The University of Texas at Dallas

2023-8 - 2025-11 · 2 yrs 4 mos

Dallas, Texas, United States

Business analytics with R: This course covers theories and applications of business analytics. The focus is on extracting business intelligence from firms' business data for various applications, including (but not limited to) customer segmentation, customer relationship management (CRM), personalization, online recommendation systems, and product assortment. The emphasis is placed on the 'know-how' knowing how to extract and apply business analytics to improve business decision-making. Students will also acquire hands-on experience with R, an opensource tool. Advanced Statistics for Data Science: This course uses statistical methods to analyze data from observational studies and experimental designs to communicate results to a business audience. The course mandates prior knowledge of fundamental statistical concepts such as measures of central location, standard deviations, histograms, the normal and t-distributions (knowledge of calculus is not required). The course also emphasizes interpretation and inference, as well as computation using a statistical software package such R, and also MS Excel. Database Foundations for Business Analytics: The course provides database knowledge for non-MIS business students to function effectively in their functional area. The course covers the fundamentals of relational data model and database queries, and the basic concepts of NoSQL databases. Structured Query Language will be used extensively. Concepts around use of NoSQL/MongoDB will be covered as well.