I'm currently pursuing exciting opportunities in a number of cities. Please let me know if you have questions about my educational or professional background, experiences, or passions.
Aug. 2021 – Present
Illinois Institute of Technology
Doctor of Philosophy in Management Science and Data Analytics
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May. 2020 – May. 2021
Schulich School of Business, York University
Master of Supply Chain Management
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Sept. 2015 – Apr. 2019
University of Toronto
Honor Bachelor of Science, Specialist in Statistics, Minor in Math
Jul. 2023 – Sept. 2023
Bond Underwriting, CITIC Securities
Financial Analyst Intern
I preprocessed financial data from the WIND database to build comprehensive datasets for modeling and conducted cross-sectional econometric regression to analyze the impact of industry performance. Additionally, I contributed to the development of a machine learning-based credit scoring model and created a time-series forecasting model to evaluate the effects of interest rate changes on bond pricing, achieving a 10% improvement in predictive accuracy.
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Jun. 2021 – Aug. 2021
Institute of Automation, Chinese Academy of Sciences
Research Assistant Intern
I optimized deep learning algorithms for image segmentation, enhancing model performance and precision in identifying key features. As part of the project, I built a scalable data pipeline capable of sourcing and organizing over 10,000 images, ensuring efficient data processing for research purposes. To support robust model development, I collaborated with the team to implement quality assurance protocols, improving data annotation consistency by 20%. Additionally, I produced over 70 pages of actionable insights and visualizations, effectively communicating findings and driving informed decision-making.
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Jun. 2018 – Aug. 2018
Bank of China
Investment Analyst Intern
I utilized Python to preprocess and analyze financial datasets, enabling efficient data handling and insights generation. As part of my work, I evaluated the credit risk of 10 corporate bond issuers using quantitative risk models, providing a robust assessment of financial stability. Additionally, I compiled and presented weekly reports on market trends in equities and fixed income, delivering timely and actionable insights to support informed decision-making.
Sept. 2021 – Present
Research Assistant
I have taught over 8,000 students in AI, data analytics, and advanced research methods, emphasizing real-world applications and research-driven projects. I led lab sessions on advanced Python programming, covering tools like Hugging Face Transformers, GPT, TensorFlow, and NLTK, with a focus on Natural Language Processing (NLP) and AI for complex data analysis. Additionally, I conducted economic analysis for a Financial Times publication, synthesizing macroeconomic trends to provide valuable insights.
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Sept. 2021 – Sept. 2022
Member in Stuart investment organization
I co-managed a $1,000,000 live investment portfolio spanning 10 industry sectors, applying machine learning techniques to forecast stock performance and identify undervalued assets based on macroeconomic trends and industry dynamics. Additionally, I developed and presented research-backed investment strategies using Tableau, effectively combining data-driven insights with visual storytelling to support informed decision-making.