Wenjun Li

Wenjun Li Email and Phone Number

Guangdong, China
Wenjun Li's Location
Guangdong, China, China
About Wenjun Li

MSBA 2020 graduate students of Cox School of SMU. My skills cross different areas in business data analytics. From data visualization and dashboard development, to predictive modeling and machine learning, and database design. These skills allow me to provide valuable insights. I am passionate about personal improvement in a data-driven culture. I am currently looking for data jobs and interships in Dallas, and hoping to work in a creative and inclusive enviroment. I'm always willing to self-update and prepare myself for future challenge, which is also my original reason to work as a data analyst - Leaning stories and finding insights never bores you.

Wenjun Li's Current Company Details
SHANGHAI MOONTON TECHNOLOGY

Shanghai Moonton Technology

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Data Analyst
Guangdong, China
Website:
moonton.com
Employees:
1492
Wenjun Li Work Experience Details
  • Shanghai Moonton Technology
    Data Analyst
    Shanghai Moonton Technology
    Guangdong, China
  • Shanghai Moonton Technology
    Data Analyst
    Shanghai Moonton Technology Mar 2022 - Present
    中国 上海市
  • Joyy
    Data Analytics
    Joyy May 2021 - Mar 2022
    Guangzhou, China
    Social Network Analysis; Customers churn prediction models; BI reporting; Growth Hacking; ETL management and Hive SQL
  • Banggood Wholesale
    Data Product Manager
    Banggood Wholesale Oct 2020 - May 2021
    Guang Zhou
    ID Mapping System; LTV models; AB Testings; Growth Hacker; Attribution analysis and Customer Funnel models on Adds; Building data middle platform; User Profile
  • Southern Methodist University - Cox School Of Business
    Data Analyst - Psav (Capstone Project)
    Southern Methodist University - Cox School Of Business Jan 2020 - Apr 2020
    Dallas,Texas United States
    • Built ARIMA times series model to forecast event-planning orders in R, and generated business solutions to improve efficiency and effectiveness in labor resource utilization through better allocating employee and reducing proportion of freelancer and union shifts • Manipulated shifts into orders, and applied K-Means clustering to classify and label orders with event types with scikit-learn package• Visualized orders data in different dimensions to find business insights and identified… Show more • Built ARIMA times series model to forecast event-planning orders in R, and generated business solutions to improve efficiency and effectiveness in labor resource utilization through better allocating employee and reducing proportion of freelancer and union shifts • Manipulated shifts into orders, and applied K-Means clustering to classify and label orders with event types with scikit-learn package• Visualized orders data in different dimensions to find business insights and identified seasonality, trend and cyclicity patterns in Tableau Show less
  • Texas A&M
    Teaching Assistant
    Texas A&M Jan 2020 - Mar 2020
    Austin Texas
    • Assisted on preparing curriculum to facilitate the education of participants from diverse biomedical background to data science training and enhance biomedical science curriculums through the incorporating programming tools for machine learning• Collected data and tested python code for a new textbook manuscript "Marketing Analytics with Excel" authored by Drs. Bahram Alidaee and Haibo Wang on chapter 4 and 5 about Market Segmentation and Logistical Analysis
  • Southern Methodist University - Cox School Of Business
    Business Analyst (Data Visualization Academic Project)
    Southern Methodist University - Cox School Of Business Aug 2019 - Oct 2019
    Dallas
    • Manipulated and aggregated historical flight load factor data based on courses of over 3000 AA’s flights into database using Alteryx • Led team of 5 to build airline KPI dashboard in Tableau visualizing seasonality pattern and tracking real-time flight performance data• Classified flagging flights data using decision tree algorithm in R and identified reasons of unexpected variance in flight booking curve
  • Bdo China - Zhengzhou Shu Lun Pan Cpa Co., Ltd.
    Assistant Project Manager
    Bdo China - Zhengzhou Shu Lun Pan Cpa Co., Ltd. Jun 2018 - Aug 2018
    Zhengzhou Henan
    Composed cash flow statements in Excel and Accounting reports of Yinge Industrial Group Co. Ltd of first half year of 2018. Collect information and analyzed the annual report data to provide company with insightsParticipated in asset-backed bill project of Anhe Finance Lease Co. Ltd and conducted a cash flow forecast project with time series forecasting models of the company in 2019
  • Central China Securities Co., Ltd.
    Intern In Investment Banking Department
    Central China Securities Co., Ltd. Jun 2017 - Aug 2017
    Zhengzhou, Henan, China
    • Made on-site investigations in assessment of IPO listing of Hemeijia Company and Runtai Engineering Management Co. Ltd project• Produced application paper materials to realize NEEQ listing process of Hemeijia Company and Runtai Engineering Co. Ltd• Searched for information and produced weekly reports to manager, made PPTs for routine meetings and connected with clients

Wenjun Li Skills

R Spss Cad/cam Business Consulting Predictive Modeling Data Analysis Knime Excel Jmp Tableau Alteryx Data Cleaning Power Bi Business Intelligence Python Solidworks Database Design Machine Learning Data Visualization Data Mining Big Data Analytics

Wenjun Li Education Details

Frequently Asked Questions about Wenjun Li

What company does Wenjun Li work for?

Wenjun Li works for Shanghai Moonton Technology

What is Wenjun Li's role at the current company?

Wenjun Li's current role is Data Analyst.

What schools did Wenjun Li attend?

Wenjun Li attended Southern Methodist University, South China University Of Technology.

What skills is Wenjun Li known for?

Wenjun Li has skills like R, Spss, Cad/cam, Business Consulting, Predictive Modeling, Data Analysis, Knime, Excel, Jmp, Tableau, Alteryx, Data Cleaning.

Who are Wenjun Li's colleagues?

Wenjun Li's colleagues are Bogi Alvarez, 郑竹涵, Putro Phonna, Ron Muyot, Rommel Vega, Ilham Diaz, Dhoni Kurnia.

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