Hi, I'm Siyao Zhang
I study how systems work — energy markets, supply chains, labour dynamics — and I use code to make sense of them. Based in Paris, thinking globally.
I love figuring out how systems work — why electricity prices spike, how supply chains absorb shocks, what happens when robots enter a labour market. I'm an M2 economist at Panthéon-Sorbonne with a dual degree in Finance from UIBE Beijing, and I think the most interesting problems sit at the intersection of economics, data, and real-world complexity.
What sets me apart is that I don't just analyse — I build. Whether it's a dispatch optimisation model in Python, a deep learning forecaster for electricity demand, or a labour market exposure index, I want to go from question to working tool. I'm also a believer in learning by doing: I picked up vibe coding to expand how I think and create, and I bring that same curiosity to everything.
Outside of economics, I coordinated 100+ volunteer programmes (including operations for the 2022 Beijing Winter Olympics), founded a digital platform reaching 2,000+ subscribers, and I speak four languages across three continents. I'm always looking for the next thing that stretches how I think.
M2 Sustainable Development Economics
Université Paris 1 Panthéon-Sorbonne
Seeking a June 2026 internship
Energy transition · Industrial AI · Emerging markets · Autonomous systems & robotics
Each project started with a question I wanted to answer — and turned into something I could actually use.
Deloitte Case Study — Supervised group project, Paris
Designed an end-to-end quantitative framework for South Africa's electricity system. Built and benchmarked six forecasting models (ARIMA through to TFT deep learning), then implemented a dispatch optimisation model minimising system cost under carbon, capacity, and contractual constraints.
Big Data for Development — Group research, Panthéon-Sorbonne
Built an exposure index measuring how susceptible European occupations are to robotics adoption, using Latent Semantic Analysis on patent and job description corpora. Found that middle-wage, routine-task occupations face the greatest automation risk — consistent with labour market polarisation theory.
Independent Initiative — Beijing
Founded and managed a digital content platform that scaled to 2,000+ subscribers. Led coordination of 100+ volunteer programmes, including operations training for the 2022 Beijing Winter Olympics. Oversaw content strategy and stakeholder communications.
Guosheng Securities — Beijing
Conducted quantitative analysis of pharmaceutical pricing and reimbursement policy. Contributed to analytical reports synthesising regulatory impact assessments for internal publication and client-facing research.
From demand forecasting to supply chain optimisation — turning messy real-world problems into structured models.
Python-first, but comfortable across the data stack. I write code to answer questions, not just to write code.
Four languages, three continents, one goal: make complex ideas clear and actionable for any audience.
Université Paris 1 Panthéon-Sorbonne · Dual Degree in Finance, UIBE Beijing
Professional track. Coursework in Big Data for Development (image & text analysis in Python), Econometrics & Impact Analysis, International Climate, Industrial Development & Finance.
CSC ScholarshipUniversité Paris 1 Panthéon-Sorbonne
Overall grade: 14.3/20 (Bien) · Microeconomics: 19.1/20. Master's thesis on trade credit, risk sharing, and inventory financing — Stackelberg equilibrium analysis.
Microeconomics: 19.1/20Tokyo, Japan
Full-year exchange during B.Sc. Coursework conducted in Japanese and English, covering economics and international relations.
JLPT N2 · Full immersionUniversity of International Business and Economics (UIBE), Beijing
Dual degree combining economics with Japanese language and culture. Includes a one-year exchange at Waseda University, Tokyo.
Dual Degree