Shang G
Quantamental Research at Marshall Wace
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolShang G is a Quantamental Researcher based in New York with 11 years of experience applying machine learning, econometrics, and data analytics to drive quant investment and commercial decisions. He has a proven track record at McKinsey/QuantumBlack delivering pricing, promotion, and personalization solutions for 10+ Fortune 500 Retail/CPG clients that realized over $5B in revenue impact. Technically fluent across AWS, GCP, and Databricks, he builds end-to-end ML systems while serving as a skilled data-science translator between technical teams and business stakeholders. Now at Marshall Wace, he focuses on marrying rigorous quantitative research with practical trading and portfolio insights. An active open-source contributor, he’s improved popular front-end and visualization projects (including visx and Nextra) demonstrating strong full‑stack and visualization chops beyond pure quant work. His background—MS in Health Data Science from Harvard and cross-institutional training—gives him a rare blend of academic rigor, product sensibility, and domain fluency in finance and consumer analytics.
11 years of coding experience
3 years of employment as a software developer
Summer Exchange Mathematics, Summer Exchange Mathematics at University of California, BerkeleyBachelor's degree Mathematics and Computer Science, Bachelor's degree Mathematics and Computer Science at University of MinnesotaCross-Registered, Cross-Registered at Massachusetts Institute of TechnologyMaster of Science - MS Health Data Science, Master of Science - MS Health Data Science at Harvard UniversitySummer Research, Summer Research at Stanford University
Chinese, English
Stackoverflow
66reputation
10kreached
9answers
0questions
Github Skills (30)
data-visualizations10
javascript10
charts10
data-visualisation10
nextjs10
mdx10
svg10
tailwindcss10
theme-development10
data-visualization10
d3js10
react10
gatsby10
mapbox-gl9
map-box9
Programming languages (18)
Github contributions (5)
yihong0618/running_page
Nov 2020 - Dec 2020
Make your own running home page
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 review, 64 commits, 8 PRs in 1 month
Contributions summary:Shang primarily contributed to bug fixes and feature enhancements for the running_page repository. They addressed issues related to file generation and header display, ensuring the application's stability and usability. Key contributions included implementing color customization options and restructuring components for improved maintainability. The user also refactored the codebase, improving overall structure and code quality.
adidasdata-analysismapboxgarminnike
airbnb/visx
Sep 2018 - Feb 2020
🐯 visx | visualization components
Role in this project:Front-end Developer
Front-end DeveloperContributions:26 commits, 5 PRs, 20 comments in 1 year 5 months
Contributions summary:Shang primarily contributed to the `visx` repository, focusing on the development of a brush chart demonstration. Their work included adding and refining brush chart components, integrating them into gallery and demo pages, and improving the styling of the demo. The user's commits demonstrate expertise in React, SVG, and data visualization components, as well as the integration of other `visx` components.
reactchartsvgdata-visualizationvisx
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