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katiapek/README.md

Hi, I'm Kamil Kaluzny

Python Developer | Data Engineering & Quantitative Analytics

9+ years of engineering experience from the construction and commissioning of the Olkiluoto 3 EPR Nuclear Power Plant — from electrical supervision through team leadership (16 engineers, 150+ field staff) to I&C commissioning. Now I apply the same rigor to data pipelines, quantitative analysis, and backend development.

What I'm Building

Financial Analysis Terminal — a quantitative analytics platform for futures and options markets.

  • Automated data pipeline ingesting CFTC COT positioning data, CME futures prices, and options implied volatility
  • Multi-factor regime classification engine (seasonality + positioning + volatility + CTA trend signals)
  • Statistical computation layer: rolling z-scores, percentile ranks, 20/50/100/200 DMAs, ATR, Donchian channels
  • Publication-quality branded chart system with dual-resolution output
  • Comprehensive pytest suite covering data transformations, statistical calculations, and regime logic
  • Stack: Python, pandas, NumPy, SciPy, matplotlib, yfinance, CFTC APIs

Projects

Project Description Stack Live Demo
Markets Dashboard Interactive futures dashboard — COT reports, OHLC charts, seasonality overlays, day-trading statistics, cross-market correlations Dash, Plotly, PostgreSQL
Time Series Bias Predictor ML-powered market research app — ct-xLSTM-TS model trained on AWS EC2 GPU instances FastAPI, PyTorch, PostgreSQL, AWS, Docker
AutoBizOps Business workflow automation with background task queues and AI-powered content generation Flask, Celery, Redis, PostgreSQL, Docker
Expectancy Calculator Trading strategy expectancy and Kelly Criterion calculator with interactive analysis Streamlit, Plotly Live
Performance Visualizer Monte Carlo simulation — 100 possible futures for any trading strategy Streamlit, Plotly, pandas Live
Compounding Simulator Long-term growth simulation with compounding, risk management, and drawdown analysis Streamlit, Python Live

Stack

Python  |  pandas  |  NumPy  |  SciPy  |  PySpark  |  SQL  |  matplotlib  |  seaborn
FastAPI  |  Flask  |  SQLAlchemy  |  Streamlit  |  Celery  |  Redis
Dash  |  Plotly  |  PyTorch  |  Alembic  |  PostgreSQL
Docker  |  AWS (EC2, S3, SES, Elastic Beanstalk)  |  Git  |  GitHub Actions  |  Linux

Certifications

  • Data Scientist Professional — DataCamp (2025)
  • Data Scientist Associate — DataCamp (2025)
  • Databricks Fundamentals — DataCamp (2026)
  • PySpark Fundamentals — DataCamp (2026)
  • 100 Days of Code: Python Pro Bootcamp — Dr. Angela Yu
  • Python and Flask Bootcamp — Jose Portilla / Pierian Training

Find Me

Pinned Loading

  1. financial-analysis-terminal financial-analysis-terminal Public

    A quantitative analytics platform for futures and options markets.

    Jupyter Notebook 1

  2. autobizops autobizops Public

    My micro-SaaS project for business automations.

    Python 1

  3. markets-dashboard markets-dashboard Public

    Interactive futures markets dashboard with COT reports, OHLC charts, seasonality overlays, day-trading statistics, and cross-market correlation analysis.

    Python 1

  4. ts-bias-predictor ts-bias-predictor Public

    ML-powered market research app — ct-xLSTM-TS model trained on AWS EC2 GPU instances

    Python 1

  5. performance-visualizer performance-visualizer Public

    Monte Carlo simulation of 100 possible futures for any trading strategy.

    Python 1

  6. compounding-simulator compounding-simulator Public

    Interactive simulator for long-term compounding growth and drawdown analysis.

    Python