Financial Data & Scenario Tools
A browser-based toolkit for live market data, DCF valuation, FX, inflation, investment returns and scenario testing with transparent assumptions.
Data · Finance · Technology
Clay Liang 梁珂玮
I use data and models to make financial, operational and strategic decisions clearer.
I am a Management & Data Science student at TUM with experience at Airbus, Lenovo and Tsinghua University. I enjoy research most when it leads somewhere practical: a better risk view, a clearer portfolio decision, or a more useful way of running a business.
What I care about: not analysis for its own sake, but reliable evidence that helps a team act. I try to make assumptions visible, communicate simply and take responsibility for the quality of the final output.
Selected work
View all projects →ASML Valuation Tracker
A live comparison between ASML's market price and my own DCF range, built to understand how assumptions, risk and expectations move valuation.
From operational data to decisions
Lessons from working with production data, cross-functional stakeholders and the gap between a technically correct output and one people can use.
Video Annotation Tool
A lightweight research workflow for timestamped video labels and CSV export, designed around what users actually needed rather than feature complexity.
Experience
Airbus Tianjin Final Assembly
Jun 2025 - Sep 2025
Data Analytics Intern
Analysed operational data with SQL, Python, Databricks and Apps Script; identified bottlenecks and performance patterns; and turned findings into dashboards, visual materials and concise updates for cross-functional teams.
Lenovo
Feb 2025 - Jun 2025
Data Science Intern / Intern Project Lead
Built Tableau and Power BI reporting for digital-transformation and supply-chain work, standardised recurring analysis and coordinated a small intern workstream across technical and business deliverables.
Tsinghua University
Jun 2024 - Present
AI Research Assistant
Supported audio deep-learning research through dataset preparation, model evaluation, controlled experiments and backend debugging, with an emphasis on traceable results and clear documentation.
Where I want to apply this
Banking & financial analysisUnderstanding companies, cash flows, financing needs and transaction decisions.
Risk & quantitative analyticsUsing data and models to measure exposure, test scenarios and make uncertainty visible.
Portfolio analyticsConnecting market information, valuation and risk to disciplined investment decisions.
Technology consultingHelping organisations turn data infrastructure and analytical tools into better operating decisions.
Education
BSc Management & Data Science
Technical University of Munich, School of Management
2026 - PresentTechnical University of Munich, School of Management
Previous studies: Artificial Intelligence & Data Science
Leiden University
2025 - 2026Leiden University
Tools
Analytics
Excel, Power BI, Tableau, Pandas, NumPy, data visualisation and scenario analysis
Programming
Python, SQL, JavaScript, C++ and Java
Data
Databricks, Spark, Git, Docker and Linux
Machine learning
PyTorch, TensorFlow and Scikit-learn
Languages
Mandarin Chinese (native), English (fluent), German (basic)