Summary
Work History
Education
Skills
Software
Languages
Timeline
Generic

Ping Wan

Student
Tianjin

Summary

At the University of Nottingham, I leveraged geospatial analysis with Python to enhance marketing strategies, gaining significant location-based insights. This approach combined rigorous research, analytical thinking, and teamwork, fostering an enriched learning environment through innovative methods. Additionally, as a Document Processing Specialist, I developed and implemented document control and management strategies, ensuring efficient storage and easy access. My strong communication, organizational skills, and proficiency in standard office software reflect a results-driven mindset, blending digital literacy with effective collaboration.

Work History

Reinforcement Learning & Stock Analysis Intern

University of Nottingham
Ningbo, Zhejiang
06.2024 - 09.2024
  • Data Cleaning: Used Python to clean and organize publicly available stock and financial data of BYD, removing invalid data and filling in missing values to ensure data accuracy and completeness.
  • Indicator Calculation: Computed key financial and technical indicators based on the cleaned data, including price-to-earnings ratio (P/E ratio), stock price volatility, and trading volume, laying the foundation for further analysis.
  • Stock Market Prediction: Applied reinforcement learning algorithms to predict future stock price trends based on historical data, attempting to develop a self-learning trading strategy model.

Education

Bachelor of Science - Applied Mathematics

University of Nottingham Ningbo China
Ningbo Zhejiang
09.2022 - 06.2026

Skills

Research and analysis

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Software

R

Python

Languages

Chinese (Mandarin)
Native language
English
Advanced
C1

Timeline

Reinforcement Learning & Stock Analysis Intern

University of Nottingham
06.2024 - 09.2024

Bachelor of Science - Applied Mathematics

University of Nottingham Ningbo China
09.2022 - 06.2026
Ping WanStudent