I work at the intersection of data science and decision-making — building tools, dashboards, and models that bridge the gap between raw data and the people who act on it.
Incoming BSc Management & Data Science student at Technical University of Munich in 2026, currently studying AI & Data Science at Leiden University. Previously interned at Airbus (data analytics, Tianjin) and Lenovo (data science), and doing research at Tsinghua University on deep learning for audio.
Current Focus
Experience
Jun 2025 – Sep 2025
- Used SQL and Apps Script to query operational data, surface decarbonisation metrics and process bottlenecks
- Built Databricks / Python workflows for large-scale preprocessing
- Main owner of visual outputs — charts, infographics, slide decks — delivered to cross-functional teams
Feb 2025 – Jun 2025
- Designed Tableau & Power BI dashboards for digital transformation strategy
- Developed training data optimisation strategies to improve model performance
- Built Excel / PowerPoint templates for technical presentations; led intern team as project lead
Jun 2024 – Present
- Co-developed deep learning models for audio processing; improved speech recognition accuracy via data augmentation and loss function tuning
- Managed and structured datasets for training and evaluation
- Debugged backend code to reduce latency and improve runtime efficiency
Projects
Education
Skills
Miscellaneous
I read annual reports recreationally, which is either a personality trait or a warning sign. Also: photography, Chinese cooking, and enough German to survive a Bäckerei. Currently reading Damodaran and wondering why I didn't start earlier.
Looking for internships where data touches money — banking, asset management, fintech, risk. If that's your world and you're open to a conversation, I'd like to hear from you.