Wei Jiang
Data Scientist, Machine Learning Engineer, Software Engineer
Zurich
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
3
3
years of professional experience
5
5
years of post-secondary education
1
1
Certification
2
2
Languages
Work History
Data Scientist
Credit Suisse
Zurich
05.2022 - Current
- Lead financial deterioration detection project to detect financial crisis on swiss corporate. Create a risk ranking system with an explainable machine-learning-based scoring model, improving performance and accuracy over 20% compared to traditional rule-based systems. Interpret the model and generate the reasoning for the score to increase the model trust.
- Support the large-scale data pipeline development and maintenance, delivering new features to production; Optimize the efficiency of system development code.
- Work with stakeholders to develop roadmaps based on impact, effort and test coordinations. Test with users about realization of requirements through deep-dive statistical analysis and visualization.
Machine Learning Engineer Intern
Swisscom
Lausanne
09.2021 - 04.2022
- Led the project of interpretability of machine learning models. Created a new framework to explain the models and unveil their black-box nature. Analyzed feasibility, risks and weaknesses of models.
- Discovered the main clusters of customers in model behavior and detected its root cause; Design algorithm to distill simple rules from the complex model; Presented to stakeholders the reasoning behind model decisions and predictions for customer churn.
Research Engineer Intern
Sony
Romote
07.2021 - 09.2021
- Designed, created and tested a transformer-based model to help robots to understand human instructions and with image and text as input. Extended instruction comprehension capability to modulated object detection transformer.
- Optimized the ML model and increased the robustness of the model to the edge use cases. Created an automatic dataset generation pipeline with computer graphic tool for testing and improving the model performance. The model achieves state-of-art results in various datasets.
Machine Learning Engineer Intern
Schindler
Lausanne
07.2020 - 01.2021
- Designed, implemented an application to detect multiple objects in the point clouds to help the R.I.S.E robot (Schindler Robotic Installation System for Elevators) avoid obstacles.
- Developed and tested a software demo to use eye tracking technology to achieve hand-free elevator calls for passengers.
Education
Master of Science - Computer Science
EPFL
Lausanne, Switzerland 09.2019 - 04.2022
Bachelor of Science - Computer Engineering
Polytechnic University of Turin
Turin, Italy 09.2016 - 07.2019
Skills
Python
Certification
AWS Solutions Architect
Publication
Author: Jiang, W., Davis, R.L., Kim, K.G., Dillenbourg, P.. GANs for All: Supporting Fun and Intuitive Exploration of GAN Latent Spaces. Proceedings of the NeurIPS 2021, in Proceedings of Machine Learning Research.
Video: Neural Design Space Exploration App website: http://generative.fashion
Timeline
AWS Solutions Architect
03-2023
Data Scientist
Credit Suisse
05.2022 - Current
Machine Learning Engineer Intern
Swisscom
09.2021 - 04.2022
Research Engineer Intern
Sony
07.2021 - 09.2021
Machine Learning Engineer Intern
Schindler
07.2020 - 01.2021
Master of Science - Computer Science
EPFL
09.2019 - 04.2022
Bachelor of Science - Computer Engineering
Polytechnic University of Turin
09.2016 - 07.2019
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