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Gotodataru/README.md

Kirill Chernyshev

ML engineer focused on building production systems for algorithmic trading and sports analytics.

All projects are validated on real out-of-sample data. Working strategies are closed source.

Open Projects

Project Stack Description
predicttrack Python · Flask · Telegram · Claude API SaaS tracker for Polymarket + Kalshi traders
algorithmic-trading-demo Python · CCXT · pytest Modular architecture for algo trading systems
tennis-ml-models CatBoost · scikit-learn Research: ATP/WTA prediction — AUC 0.75, no exploitable edge found
1c_petconfig 1C:Enterprise Custom configuration built from scratch

Skills

ML: CatBoost · XGBoost · LightGBM · SHAP · walk-forward validation · bootstrap CI
Trading: statistical arbitrage · delta-neutral strategies · Binance/Bybit API
Backend: Python · Flask · SQLite · Telegram Bot · APScheduler
Data: pandas · DuckDB · Parquet · Playwright scraping

Currently learning

1C:Enterprise development

Pinned Loading

  1. tennis-ml-models tennis-ml-models Public

    Machine learning models for predicting tennis match outcomes (ATP & WTA).

    Python

  2. predicttrack predicttrack Public

    Prediction market tracker for Polymarket & Kalshi with Telegram alerts

    Python

  3. algorithmic-trading-demo algorithmic-trading-demo Public

    Demo project showing architecture of algorithmic trading systems

    Python

  4. task-marketplace-api task-marketplace-api Public

    Hyperlocal gig marketplace REST API built with FastAPI, PostgreSQL/PostGIS, Celery, Redis, MinIO and Docker

    Python