- I worked as a management consultant for years, and I regard DATA and AI as important tools to empower organizations and sustainability. Enjoy doing hands-on research, analysis, and coding for better solutions.
- I have a good understanding of environmental science and data science (including machine/deep learning, natural language processing, and data visualization). My goal is to be a Data Scientist or IT consultant.
- For vision, I have hands-on experience in YOLO, GAN, and image classification training, and familiar with RNN, and CNN fundamental knowledge. For NLP, I have experience in labeling, sentiment analysis, and other classification tasks. Have basic knowledge of Azure.
- Have 3 years' team management experience. Open to learning and challenges, optimistic, and sustainable. Aspire to bring more female leadership to STEM fields.
Personal statement
Research interests & Available time
- Research interests: data models applications for sustainability or product
- Open to 2024 summer internship or graduation thesis program. Starting from July 1st, I can work full-time. (maximum 1 year till graduation in 2025 summer)
Education
Leiden Uinversity
Master of Data Science: Computer Science
2023 - 2025
- Completed courses: Deep Learning(CV), Text Mining(NLP), Data Mining, Social Network Analysis, Software Development and Product Management(Scrum), and Data Science in Practice(FAIR ontology).
- Courses ongoing till June: Information Retrieval, Reinforcement Learning, Biomodeling, Robotics, Game AI algorithms
- Honours course: Career as a Climate Change Maker.
- Member of Study Association De Leidsche Flesch in Leiden University
Sun Yat-Sen University (Zhongshan University)
Bachelor of Environmental Science
2008 - 2012
Related courses: Calculus, Probability and Statistics, Linear Algebra, Environment Information System, Biology, Chemistry, Ecology, Environmental Engineering, etc.
Graduation Thesis: The response of antioxidant system to Zn/Cd stress in Arabis paniculata Franch. (Grade A)
Internship: Summer internship in Plant aseptic tissue culture in Xiamen Botanic Garden
Skills
Programming
Python, Java, Sql, JavaScript+CSS+HTML
Tools
Git, LateX, Gephi, Origin, Figma, Snoopy, Azure
Language
English, Chinese Mandarin, Cantonese, Dutch beginner
Package
TensorFlow, nltk, transformers, spacy, gym, networkX, optuna, sklearn,numpy, pandas, matplotlib
Certificate
Chinese Intermediate Economist
Work Experience
Match Consultancy, Adecco, Tianfu Bank, Independent Consultant
Management Consultant
August 2012 - December 2022
- HR management consultancy: Worked with companies in the chemical, agricultural, AI robotics, and IT industries. Provided solutions for OD, pay-performance reform, recruitment, and training, etc. Responsible for BU talent pool information system implementation, talent recruitment and consultancy, and due diligence work in Tianfu Bank.
- AI robot business: Cooperated with manufacturers to market, lease, and sell robots, and provided clients with training and data monitoring services.
Project Experiences
Personal datapod in FAIR-based ontology with permission control
Team Leader
- Our course project for 'Data Science in Practice' aims to create a decentralized datapod prototype that allows specialized individuals to reuse their personal documents and medical data. Trust and privacy protection are crucial.
- As a team leader, I led the team in studying and exploring the challenge, working with the lecturer, TAs, Ph.D. guide, interviewees, and advisers from other organizations.
- Design the overall system's conceptual structure, work plan, and quality control. Research the technical difficulties of the project and provide solutions.
- Achievement: I received great feedback, graded 8.5, and was invited to contribute a chapter for a new book to prolong the project beyond the course, will finish the writing before May.
Sentiment Analysis for Text Mining Course
- Based on the SemEval-2017 Task 4 paper, researched, reproduced, and compared two models (the MSA and the self-built simplified converter model). Gain practical knowledge about Biltsm and transformer models.
- The task of performing sentiment analysis on Twitter data was accomplished through data cleaning, embedding, model training, and delivered the scientific report.
Activities
National Hackathon Circular Economy 2024: Towards slow fashion