💻 Machine Learning Developer • Python • Computer Vision (Applied ML)
- 🧠 Focused on Machine Learning & Applied Computer Vision
- 🐍 Python developer with hands-on experience building ML projects end-to-end
- 💻 8+ years of experience in Data Center Operations
- 🌍 Dual Citizenship: German 🇩🇪 + Brazilian 🇧🇷
- 🤝 Volunteer developer in an international team (Brazil, Germany, Bolivia)
- 🚀 Currently transitioning into Machine Learning / Applied AI roles
- Supervised Learning (Regression & Classification)
- Data Cleaning, EDA & Feature Engineering
- Model Evaluation (Accuracy, Precision, Recall, F1-score)
- Overfitting & Regularization (Ridge, Lasso)
- Basic Hyperparameter Tuning
- Serving models via Python APIs (Flask)
ML model that predicts credit score categories using Random Forest & KNN
Tech: Python | Scikit-learn | Pandas
🔗 https://github.com/ludiemert/IA_predictions_Python
Data analysis and visualization identifying key churn factors
Tech: Python | Pandas | Plotly
🔗 https://github.com/ludiemert/Data_analysis_PY
Automation pipeline combining OpenCV + Python scripting
Tech: Python | PyAutoGUI | OpenCV
🔗 https://github.com/ludiemert/Python_Task_Automation
Socket-based chat application built with Python + Flask
🔗 https://github.com/ludiemert/chat_friends_PY
Deep Learning (next step):
→ Neural Networks fundamentals
→ CNNs for Computer Vision
→ PyTorch / TensorFlow
DevOps Roadmap:
✔ Docker
✔ GitHub Actions
→ CI/CD
→ IaC with Terraform
→ Containers & Orchestration
