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Peter Xiong
13800000000
zhangwei@example.com
Shanghai
30
Male
Data Scientist
Employed
Shanghai
25k - 35kEducation Experience
Shanghai Jiao Tong University - Master's Degree985211
2015 . 092018 . 06
Data Science and Big Data Technology
- Systematically studied core courses such as data mining and machine learning, with a GPA of 3.8 (top 10% in the major)
- Participated in the tutor's scientific research project, was responsible for data cleaning and preliminary analysis work, and published 1 academic paper
Work Experience
ByteDance - Data Science DepartmentInternet GiantInnovative Enterprise
2020 . 012023 . 06
Data ScientistData AnalysisModel ConstructionTeam Management
Shanghai
- Responsible for data modeling and analysis of the company's core business. By building a prediction model, the product recommendation accuracy rate was increased by 20%, and the annual income of the company was increased by 50 million yuan
- Led a 5 - person team, led the optimization project of the data warehouse, increased the data query efficiency by 30%, and supported the business department to make quick decisions
- Closely cooperated with the business department, deeply understood business needs, designed and implemented A/B test plans, optimized the user experience, and increased the user retention rate by 15%
Baidu - Data Intelligence DepartmentTechnology GiantTechnology - Driven
2018 . 072019 . 12
Data ScientistSystem ConstructionAlgorithm ApplicationData Report
Beijing
- Independently completed the construction of the company's user behavior analysis system, integrated multi - source data (daily data processing volume reached 10TB), and provided data support for the adjustment of operation strategies
- Used machine learning algorithms (such as random forest, XGBoost) to segment customers, the response rate of precision marketing activities was increased by 18%, and marketing costs were saved by 3 million yuan
- Regularly provided data insight reports for the company's senior management, promoted product function iteration, and after the new function was launched, the user activity was increased by 12%
Project Experience
E - commerce User Churn Prediction Project - Project Leader
2021 . 032021 . 09
ByteDance
- Project background: An e - commerce platform faced the problem of user churn and needed to find the characteristics of churn users and predict the churn probability through data mining
- Technical implementation: Used Python for data preprocessing (missing value filling, outlier handling), used algorithms such as logistic regression and decision trees for modeling, and optimized model parameters through cross - validation
- Project results: Successfully identified 5 types of user groups with high churn risk, the prediction accuracy rate reached 85%, and the operation department carried out targeted retention activities accordingly, reducing the user churn rate by 10%
Financial Intelligent Risk Control Model Project - Core Member
2018 . 102019 . 06
Baidu
- Project background: Financial institutions carried out the construction of intelligent risk control models to improve the efficiency of credit approval and risk control capabilities
- Technical implementation: Integrated multi - dimensional data such as customer credit investigation, consumption, and social interaction, built a GBDT + LR fusion model, and used Spark for distributed computing to process massive data
- Project results: After the model was launched, the credit approval time was shortened from an average of 2 days to 2 hours, the bad debt rate was reduced by 5%, and the institution reduced losses by 20 million yuan each year
Personal Summary
- 7 years of experience in the data science field, proficient in data analysis tools such as Python and R, familiar with various machine learning algorithms
- Have rich project practical experience, can provide data - driven solutions starting from business needs
- Good team cooperation and communication skills, once led the team to complete multiple complex projects, promoting business growth
Honor Awards
2022 Company Excellent Data Scientist Award
2020 Industry Data Modeling Competition Third Prize
Other Information
Data Visualization:
- Proficient in tools such as Tableau and PowerBI, able to present complex data in an intuitive and beautiful chart form. Made high - quality data visualization reports for multiple projects, helping business personnel quickly understand data
