Siyan Wang
Data Scientist
Montreal
Summary
Data scientist with 8 years of experience in machine learning (ML), deep learning (DL), and large language models (LLMs) across finance, sustainability, and risk assessment. Skilled in developing end-to-end machine learning models, coordinating analytical efforts in Agile environments (Scrum, Kanban), and presenting insights to business, technology, and model governance teams. Strong expertise in predictive modeling, time series forecasting, and model deployment using SDLC processes.
Overview
3
3
years of professional experience
9
9
years of post-secondary education
Work History
Vice President, Data Scientist
Morgan Stanley
09.2023 - Current
- Developed and deployed an industry-first real-time machine learning model (XGBoost) to estimate post-hurricane monetary losses, achieving an R² of 0.85 and reducing investment losses by 7%
- Led cross-functional Agile teams (8 members) to 3rd place in the Morgan Stanley GenAI Hackathon by automating code refactoring with OpenRewrite and LLMs, reducing update times by 30% division-wide
- Implemented an end-to-end ML lifecycle pipeline, improving the U.S Housing price index prediction model by 10% through feature engineering and time series analysis
- Designed an interactive AI-driven geospatial tool for portfolio risk visualization, integrating climate impact simulations for stakeholders across finance and risk governance
Vice President, Data Scientist
Morgan Stanley
06.2022 - 09.2023
- Built and deployed scalable ML models using AutoML (H2O), FactSet data, and macroeconomic variables, increasing revenue forecast accuracy and boosting divisional profits by 5%
- Developed a cloud-based geospatial AI system for residential loan risk assessment, reducing projected losses from climate and natural hazards by 14%
- Optimized data pipelines and ETL workflows, reducing data retrieval and processing times by 80%, improving operational efficiency in the loan risk analysis workflow
Education
Ph.D. - Civil Engineering
Columbia University
New York City 09.2016 - 10.2020
M.S. - Environmental Engineering
Columbia University
New York City 09.2014 - 02.2016
B.S. - Urban and Rural Planning & Resources Management
Hohai University
China 09.2010 - 06.2014
Skills
- Programming Languages: Python (Primary), Java, SQL, R, C, MATLAB
- Machine Learning & AI Frameworks: Scikit-learn, TensorFlow, Keras, PyTorch, H2O, AutoML
- LLMs & NLP: NLTK, spaCy, Hugging Face Transformers, OpenAI GPT, BERT
- CI/CD Pipelines: Jenkins, GitLab CI/CD, Docker
- Software Development & SDLC: OpenRewrite, Git, API Development
- Agile Project Management: Agile, Sprint Planning, Stakeholder Communication
Timeline
Vice President, Data Scientist
Morgan Stanley
09.2023 - Current
Vice President, Data Scientist
Morgan Stanley
06.2022 - 09.2023
Ph.D. - Civil Engineering
Columbia University
09.2016 - 10.2020
M.S. - Environmental Engineering
Columbia University
09.2014 - 02.2016
B.S. - Urban and Rural Planning & Resources Management
Hohai University
09.2010 - 06.2014
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