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JiaxiangBU/README.md

Hi there 👋

I'm a Machine Learning Algorithm Engineer specializing in financial risk control and quantitative analysis. My work focuses on developing robust models and data-driven solutions for risk assessment.

🔧 Technical Expertise

  • Machine Learning Algorithms for Financial Risk Control
  • Credit Risk Modeling & Default Prediction
  • Statistical Analysis & Predictive Analytics
  • Natural Language Processing for Risk Assessment

🎯 Current Focus

  • Advanced machine learning applications in financial services
  • Real-time risk monitoring systems

📫 Let's Connect

Feel free to reach out for discussions on machine learning applications in finance or quantitative modeling.

🏃‍♂️ Personal Interests

In my spare time, I enjoy tracking my fitness journey and analyzing the data: Fitness Analysis Report and Workout Notes. I also occasionally share thoughts on games like Nintendo Switch Mario.

For questions and discussions from online friends, I maintain a tutoring repository.

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    光伏短期功率预测大赛 代码

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    Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

    C++ 27.4k 8.8k

  3. top-line-predictor top-line-predictor Public

    FDDC2018金融算法挑战赛01 - A股上市公司季度营收预测 比赛笔记

    HTML 15 5

  4. workflowr/workflowr workflowr/workflowr Public

    Organize your project into a research website

    R 873 108

  5. dynamic_topic_modeling dynamic_topic_modeling Public

    dynamic topic modeling

    Jupyter Notebook 42 1

  6. usd-data-analysisEX usd-data-analysisEX Public

    Additional notes for A Study on the Negative Externality of Usd Liquidity - Based on the Asset Allocation Efficiency of Us Treasury Securities

    3 1