James Zhu
Claremont,CA
Summary
Offering background in analytical thinking and teamwork, with strong desire to develop in professional setting. Brings ability to quickly grasp new concepts and adapt to dynamic environments, paired with foundational skills in research and report writing. Ready to use and develop problem-solving and communication skills in Real Estate Sales Internship role.
Overview
1
1
year of professional experience
Work History
Student Researcher
Harvey Mudd Fluid Lab
01.2025 - Current
- Explored the gelation process of the 17 hexapeptides and the fluid dynamics using molecular dynamics simulations.
- Utilized various Python data analysis packages for data analysis and visualization of experimental results.
- Documented findings in detailed presentations slides, enhancing clarity for future research efforts.
Data Team Participant
P-ai (P-RoomMatch)
08.2024 - 12.2024
- Participated in the largest computer science programming community at Claremont colleges.
- Designed and developed the user questionnaire to collect relevant data for roommate compatibility.
- Led data collection, cleaning, and categorization efforts to support the platform’s matching algorithm.
Participant
Machine Learning Workshop
10.2024 - 11.2024
- Learned about the basic introduction of Machine learning, including how to use pandas to handle data, and how to use neural networks to build up machine learning model
- Complete 2 mini projects, one is about building a spam detector using dataset from Kaggle and the other one is about building an AI chatbot for Harvey Mudd College Helpdesk
Data Analysis Intern
Golgrin
07.2024 - 07.2024
- Learned about the basic Selenium, NumPy, Pandas pakages at the small start-up firm.
- Helped with the extraction of Chinese stock market data.
- Analyzed large datasets to identify trends and inform strategic decision-making.
Intern
PwC Business Consulting (Shanghai) Limited
06.2024 - 06.2024
- Synthesized insights from over 20 industry reports, including monthly sales analyses, policy briefings, and marketing white papers, to produce a comprehensive overview of China’s automotive sector.
- Analyzed secondary data on passenger vehicle sales trends (2022–2023), highlighting shifts in consumer demand across sedans, SUVs, and MPVs.
- Consolidated key developments in the new energy vehicle (NEV) market—including battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs)—with a focus on policy-driven adoption and infrastructure gaps.
- Reviewed strategic marketing frameworks used by major automotive firms, summarizing full-funnel approaches and consumer segmentation strategies from leading consulting and media sources.
- Authored a 25-page professional research report integrating cross-source findings on market dynamics, regulatory trends (e.g., “Dual Carbon” goals), and key challenges facing the industry.
Consultant Intern
Lighten Education
02.2024 - 05.2024
- Conducted research to identify trends in over 50 UK universities admission and the best application strategy.
- Assisted in developing more than 600MB of training materials for educators, enhancing instructional effectiveness.
- Proofread and updated all the admission data information about top 50 US university applications
Education
Bachelor of Arts - Undeclared
Pomona College
Claremont, CA05-2028
Skills
- Python, Numpy, Matplotlib, Excel, R, PowerPoint
- Quantitative research
- Data collection
- Dataset analysis
- Scientific methodology
- Fluent in English; Native in Chinese
Timeline
Student Researcher
Harvey Mudd Fluid Lab
01.2025 - Current
Participant
Machine Learning Workshop
10.2024 - 11.2024
Data Team Participant
P-ai (P-RoomMatch)
08.2024 - 12.2024
Data Analysis Intern
Golgrin
07.2024 - 07.2024
Intern
PwC Business Consulting (Shanghai) Limited
06.2024 - 06.2024
Consultant Intern
Lighten Education
02.2024 - 05.2024
Bachelor of Arts - Undeclared
Pomona College
Awards
- 2021 High School Mathematical Contest in Modelling Top 8%
- 2021 American Mathematics Competition 12 Distinction, Top 5%
- 2023 Cambridge Chemistry Challenge (C3L6), Roentgenium award (Top 0.6%), Top 10 in China, 10166 participants
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