Skip to content

Marcin SzczΔ™sny

Data Scientist | AI Developer | ML Engineer

For two decades, I have been passionately building business relationships, effectively developing sales and acquiring new clients in my professional work. My experience combines commercial intuition with the ability to maintain long-term relationships based on trust, supported by data analysis, which enabled effective sales goals achievement and operations optimization. Since October 2024, I have been actively gaining experience in Data Science and AI. In February 2025, I joined an elite Masterclass group within a Data Science program, where I co-create innovative startups focused on data analysis and artificial intelligence

About Me

πŸŽ“ Education

  • Computer Science Engineer (programming)
  • Electronics Technician
  • Administration Technician

πŸ“œ Certificates

  • Data Science Course (completed)
  • AI Agents Development Course (in progress)

πŸ’Ό Experience

  • 20+ years in trade and sales
  • 1 year of intensive Data Science/AI learning
  • 8 months - member of elite Masterclass group - Data Science course extension

Technical Skills

🐍 Programming Languages

Python TypeScript

βš›οΈ Frameworks & Libraries

Streamlit React

πŸ€– AI/ML

OpenAI Ollama PyCaret Scikit-learn CatBoost

πŸ—„οΈ Databases

PostgreSQL Supabase Qdrant

☁️ Cloud & DevOps

AWS S3 Digital Ocean Docker Supabase Storage

πŸ”§ Other Tools

MCP Github Pandas NumPy Plotly Joblib Langfuse

Selected Projects

🎨 PiktoBajki - Picture Stories

Application for generating interactive picture stories using advanced AI algorithms. Integration with OpenAI API (GPT-4o, DALLE-3, TTS), subscription system and user resource management.

Technologies: Python Streamlit OpenAI API GPT-4o DALLE-3 Supabase

🎀 Audio Notes

Application for recording voice notes with automatic transcription to text. Uses OpenAI Whisper model, vector database and semantic note search.

Technologies: Python Streamlit OpenAI Whisper Qdrant Embeddings

πŸƒ Half Marathon - Time Prediction

Interactive application predicting half marathon time based on trained ML model. Analysis of data from 20+ thousand participants, integration with GPT for personalized training advice.

Technologies: Python Streamlit CatBoost PyCaret OpenAI Langfuse

πŸ‘₯ Find Friends

EDA tool for finding people with similar interests. Uses clustering algorithms to identify groups of users with similar preferences.

Technologies: Python Streamlit PyCaret Clustering Plotly Pandas

Availability

πŸ” Actively looking for: - Permanent position in Data Science/AI field - Freelance projects related to ML/AI - Collaboration on creating innovative solutions

πŸ’Ό Interested in: - Development of AI systems and agents - Implementation of ML solutions in business - Creating applications using LLM

Contact

πŸ“§ Email: heya@wp.pl

πŸ”— GitHub: Profile Link
πŸ’Ό LinkedIn: Profile Link

Website created using MkDocs. Regular portfolio updates and new projects available on this site.