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pawel-zajac-dev/README.md

Hi! Welcome on my GitHub profile

I’m a Machine Learning Engineer / Data Scientist with a strong mathematical background and passion for building models that not only fit, but explain.
My focus lies at the intersection of probabilistic modeling, time series forecasting, and statistical inference.

Specializations

  • Stochastic Processes – Poisson, Wiener, Brownian motion, Gaussian processes
  • Time Series Analysis – ARIMA, HMMs, spectral methods, Kalman filtering
  • Bayesian Inference & Statistical Learning – MCMC, variational inference, hypothesis testing
  • Model Selection & Hyperparameter Optimization – Bayesian optimization, grid/random search, CV
  • Machine Learning Engineering – pipelines, reproducibility, deployment

I enjoy designing interpretable models, simulating complex dynamics, and squeezing insight from noisy data.

GitHub Loop

Technologies & Tools

  • Python (NumPy, pandas, matplotlib, seaborn)
  • scikit-learn, XGBoost, LightGBM
  • PyMC3 / PyMC / ArviZ
  • TensorFlow / PyTorch
  • Optuna / Ray Tune
  • Git / GitHub / VS Code
  • Docker, MLFlow, Weights & Biases
  • R

Pinned Loading

  1. Classic-Machine-Learning Classic-Machine-Learning Public

    Random Forest, Naive Bayes Classifier, XGBoost, Logistic Regression, Decision Trees, Random Trees, Support Vector Machines, K-Nearest Neighbors, Linear Regression, Bayesian Regression, K-Means Clus…

    Jupyter Notebook 3

  2. Bayesian-Machine-Learning Bayesian-Machine-Learning Public

    Bayesian Regression, Naive Bayes Classifier

  3. Time-Series-Models Time-Series-Models Public

    This repository contains a collection of time series analysis and forecasting projects, featuring both classical statistical models (ARIMA, SARIMAX, VAR, GARCH) and deep learning approaches (LSTM, …

    Jupyter Notebook 3

  4. Hidden-Markov-Models Hidden-Markov-Models Public

    DTMCs, HMMs, Gaussian HMMs, second-order HMMs, etc.

    Jupyter Notebook 3

  5. Continuous-Stochastic-Processes Continuous-Stochastic-Processes Public

    Poisson, Wiener & Gaussian processes, CTMCs, SDEs, Brownian motion

    3

  6. Natural-Language-Processing Natural-Language-Processing Public

    Jupyter Notebook 3