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bockuden/README.md

Hi, I'm Yehor

Senior software engineer and applied ML practitioner with a background in physics and mathematics education.

My experience includes:

  • 15+ years of C# development, browser automation, and web data extraction
  • Python, OpenCV, TensorFlow, and CNN-based computer vision
  • Time-series analysis, quantitative research, and strategy backtesting
  • Anomaly detection and production risk-scoring systems
  • FastAPI services and reproducible data/ML pipelines

Selected projects

Crypto Cointegration Stability Study

Reproducible research on rolling correlation, Engle–Granger cointegration, stability, and out-of-sample mean-reversion tests for Binance perpetual pairs.

View repository

US Fertility, Housing, and Income Drivers

A public-data research pipeline progressing from a state-level baseline to metro fixed-effects models and household-panel analysis.

View repository

Current focus

I am interested in applied data science, risk modeling, time-series research, computer vision, and production-oriented ML systems.

Pinned Loading

  1. crypto-cointegration-research crypto-cointegration-research Public

    Reproducible research on rolling correlation, Engle-Granger cointegration, stability, and out-of-sample mean-reversion tests for Binance USDT-M perpetual pairs.

    Python

  2. us-fertility-housing-income us-fertility-housing-income Public

    U.S. fertility and housing research pipeline: state-year MVP, metro-year FE upgrade, and SIPP household-panel V3.

    Python

  3. openai-30gw-grid-exposure openai-30gw-grid-exposure Public

    Reproducible BA-level sensitivity analysis of hypothetical allocations of OpenAI's 30 GW compute target across the U.S. power grid.

    Python