Nanyang Technological University
Bachelor of Economics and Data Science
Aug 2023 - May 2027- Expected Honours (Distinction).
- Main courses: Economics, Mathematics and Statistics, Programming, Data Science, Case Analysis.
Economics and Data Science Student
Liu Sigan
Nanyang Technological University, Singapore
Interested in AI applications, data analysis, business analytics, and finance. Open to internship and graduate opportunities.
Education
Academic background
UCLA
Exchange Program in Economics and Business
Jun 2024 - Aug 2024- Completed coursework in corporate innovation, economics, and quantitative analysis.
- Analyzed U.S. startup strategies using data-driven and modeling approaches.
Sciences Po
Exchange Program in Economics, Finance and Law
Aug 2025 - Dec 2025- Completed coursework in corporate governance, finance, and statistics.
- Applied quantitative methods to analyze cross-country regulatory frameworks and their impact on financial markets.
Internships
Professional experience
May 2025 - Jun 2025
Sinolink Securities
Investment Banking Intern
- Supported execution of USD 140M+ capital market projects, conducting due diligence, credit analysis, and financial modeling to assist pricing decisions.
- Analyzed financial data of multiple listed companies, built structured analytical frameworks, and contributed to research reports supporting investment screening and management decisions.
- Automated data processing and reporting with Python and VBA, integrating multi-source data for analysis.
May 2024 - Jun 2024
Jiangxi Tengsheng Engineering Consulting Co., Ltd.
Intern, Strategic Development Department
- Analyzed 10,000+ cost data points using Python to optimize pricing models, reducing quotation range by around 20%.
- Independently designed and developed an end-to-end project management mini-program, structuring workflows from registration to archiving and enabling full-cycle project tracking.
- Built and optimized the system using WeChat Mini Program frontend technologies with Node.js and cloud development for backend services, APIs, authentication, data management, and real-time progress tracking.
Projects
Academic and technical work
AI-Powered Company Scoring and Recommendation Platform
- Led a 5-member team to design and build an AI-powered company evaluation platform from 0 to 1, responsible for product planning, system design, and overall project execution.
- Built a pipeline for data collection, text analysis, and scoring to enable multi-dimensional evaluation and visualization, and developed LLM-based features using Google Gemma for company information extraction and tag generation.
- Built data storage and query systems with Supabase, implemented filtering and ranking functions, optimized user flow, and presented the project to tech companies and investors.
Google Gemma
Supabase
LLM Features
Ranking System
Evaluating the Impact of Player Attributes on Performance
- Built an end-to-end data analysis pipeline using Python and R, including data cleaning, outlier handling, and feature engineering.
- Developed regression and decision tree models, combining statistical analysis to identify key factors affecting player performance.
- Visualized insights and achieved strong predictive performance with R² around 0.90.
Python
R
Regression
Decision Trees
Activities
Leadership and co-curricular activities
Vice Director, External Relations Department
- Led a team of 20 to establish partnerships with 5+ local companies, securing funding and resource support.
- Organized cross-campus events and academic sharing sessions, significantly expanding event scale and impact.
Skills
Technical skills
Data Analysis
Python, R, C, data cleaning, feature engineering, statistical modeling
AI & Development
OpenClaw deployment, Cursor, Codex, backend development, API integration
Tools
Microsoft Word, Excel, PowerPoint
Languages
Chinese (Native), English (IELTS 7.0)