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Hi šŸ‘‹, I'm Szymon

A passionate data consultant from Poland

  • šŸ”­ Iā€™m currently working on ETL pipelines

  • šŸŒ± Iā€™m currently learning Azure

  • šŸ‘Æ Iā€™m looking to collaborate on Open Source

  • šŸ¤ Iā€™m looking for help with data analysis

  • šŸ‘Øā€šŸ’» All of my projects are available at www.skszymon.eu/projects

  • šŸ“ I regularly write articles on www.skszymon.eu/blog

  • šŸ’¬ Ask me about Big Data

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences www.skszymon.eu/cv

  • āš” Fun fact I think i am funny

Connect with me:

skszymon skszymon skds iamszymi

Languages and Tools:

gcp postgresql postman python scikit_learn

Szymon Kowalewski's Projects

audiophile icon audiophile

This project is an end-to-end extract, load, and transform (ELT) pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes the data for use in a Metabase dashboard.

deepnote icon deepnote

This project contains Jupyter notebooks for data analysis. The notebooks cover various topics such as data cleaning, visualization, and statistical modeling.

etl-log-activity icon etl-log-activity

This project is designed to extract, transform, and load log data into BigQuery using DBT and Terraform.

footstat icon footstat

This project uses OpenCV to detect and track football players on a pitch during a Chelsea vs Manchester City match. The project is based on color detection and blob analysis techniques.

generative-ai-for-beginners icon generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI šŸ”— https://microsoft.github.io/generative-ai-for-beginners/

prophitbet-soccer-bets-predictor icon prophitbet-soccer-bets-predictor

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

social-analyzer icon social-analyzer

API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites

video_streaming_pipeline icon video_streaming_pipeline

This project is a demonstration of a video processing pipeline that utilizes various technologies such as JavaScript, Flask, Kafka, and MongoDB

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