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Michał Pytel

@Michael-Pytel · User

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Data Scientist

Copenhagen18 followers24 repositories

Repositories

Michael-Pytel/Time-Domain-Audio-Analysis

Streamlit app for time-domain audio signal analysis — silence detection, voiced/unvoiced classification, F0 estimation via autocorrelation and AMDF, and weighted multi-feature speech/music discrimination.

★ 2PythonForks 1

Michael-Pytel/Stock-Exchange

An algorithmic trading platform combining reinforcement learning, probabilistic time-series forecasting, and paper trading with real-time market data.

★ 0Jupyter NotebookForks 1

Michael-Pytel/Image-Processing

A desktop photo editor built with PyQt5 and OpenCV, featuring brightness/contrast tuning, grayscale conversion, binarization, sharpening, blur filters, multi-algorithm edge detection (Sobel, Prewitt, Roberts), custom convolution kernels, histogram and projection analysis.

★ 0Jupyter NotebookForks 0

Michael-Pytel/Data-Warehouse-Energy-Weather

Energy-weather data warehouse integrating ENTSO-E, Open-Meteo & Eurostat data for 27 EU countries — Python ETL pipeline, SQL Server star schema, Power BI dashboards.

★ 0PythonForks 0

Michael-Pytel/AuctionApp

Built scalable auction platform on GCP with automated infrastructure management.

★ 0PythonForks 0

Michael-Pytel/arxiv-rag

A conversational research assistant for exploring AI and ML literature — ask broad survey questions or specific technique comparisons and get precise, source-grounded answers from real arxiv papers.

★ 0PythonForks 0

Michael-Pytel/Arbitrage-Detector

A scalable Big Data system built on Lambda Architecture for detecting arbitrage opportunities between cryptocurrency spot markets and crypto-backed ETFs.

★ 0PythonForks 0

Michael-Pytel/Frequency-Domain-Audio-Analysis

Streamlit app for frequency-domain audio signal analysis — FFT, spectrogram, spectral features (centroid, bandwidth, SFM, SCF), formant detection, and F0 estimation via cepstrum.

★ 0PythonForks 0

Michael-Pytel/PosePro

Automated push-up form assessment using MediaPipe pose estimation and binary classifiers. Analyzes side-view video recordings and provides per-repetition feedback in three categories.

★ 0PythonForks 0