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HG-Cheng/README.md

Hi there, I'm Averyhong 👋

Bridging Resource & Environmental Big Data with Quantitative Finance

I am an undergraduate student majoring in Resource Environment and Big Data Engineering, actively shifting my focus toward Computer Science and Quantitative Finance. My core passion lies in building institutional-grade quantitative tools and applying machine learning to complex spatial and environmental datasets.

  • 🔭 Currently Building: MinerQuant-ESG (Mining stock carbon risk analysis) & GeoPredict-Shaanxi (Mineral resource spatial clustering).
  • 🌱 Currently Deepening: Global asset allocation, Alpha factor modeling, and High-performance Quantitative System Architecture.
  • 👯 Open to Collaborate: Python-based open-source tools for economics, quantitative finance, and earth sciences.
  • 🎯 Long-Term Goals: Contribute to GSoC 2027 (Python Software Foundation / NumFOCUS) and pursue Master's studies at top European institutions (ETH Zurich / RWTH Aachen).
  • 🏆 Recent Milestones: Code contributor to QuantEcon (Quantitative Economics with Python, founded by Nobel Laureate Thomas J. Sargent).

🛠️ Tech Stack & Methodologies

  • Core: Python, Data Cleaning Pipelines, Object-Oriented Programming
  • Machine Learning: Random Forest, K-Means Spatial Clustering, Kernel Density Estimation
  • Quant Finance: Factor Analysis, Sharpe Ratio Optimization, API-driven Asset Data Parsing
  • Tools & Environment: Git, VS Code, GitHub Actions

Popular repositories Loading

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