Jane Dong
Investment Banking Analyst at Wellesley Hills Financial LLC
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolJane Dong is an investment banking analyst and University of Michigan data science major with eight years of hands-on market experience and a track record across equity research, quantitative trading, and investment roles at firms including Guotai Junan and Wellesley Hills Financial. She combines strong quantitative programming (R/SQL/Python/C++/DolphinDB) with practical financial modeling and clear client communication, having contributed to both sell-side research and product-focused roles. Jane also contributes to open-source AutoML work—improving FLAML’s time-series forecasting and usability—showing an interest in scalable ML tooling beyond pure finance. Outside of markets, she pursues film production and outdoor adventures, reflecting a creative and resilient approach to problem solving.
8 years of coding experience
Bachelor of Science - BS, data science, Bachelor of Science - BS, data science at University of Michigan
Github Skills (15)
llm10
pytorch10
autogen10
machine-learning10
jupyter-notebook10
time-series-forecasting10
automated-machine-learning10
automl10
python10
agentic9
notebook9
documentation8
scikit7
scikit-learn7
testing7
Programming languages (3)
Github contributions (5)
microsoft/FLAML
Nov 2022 - Dec 2022
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 6 commits, 5 PRs in 1 month
Contributions summary:Jane's commits primarily focused on enhancing the `flaml` library's time series forecasting capabilities and improving the user experience. They contributed by adding documentation links to notebooks and providing informative messages to users regarding the AutoML process. The user also addressed a bug related to checkpoint values within a PyTorch tuning notebook and associated tests. This suggests a focus on improving the library's usability and addressing potential issues.
fairness-mlpythonfinetuningdiscordjupyter-notebook
Zheng-Hu/staysafe
Mar 2021 - Apr 2021
HTML code for a website which can recommend uncongested locations
Contributions:47 commits in 1 month
locationsjavascriptrecommend
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