Machine Learning | Deep Learning | Computer Vision

I am very dedicated and hardworking. I also worked as a Research Assistant at the University of Saarland. I have also done several personal projects on Computer Vision, Deep learning, ML, like semantic segmentation, object detection, etc.

• Computer Vision3 J.
• Deeplearning4j3 J.
• Maschinelles Lernen3 J.
• Natural Language Processing3 J.

Frameworks:
- XGBoost, TensorFlow, Keras, XGBoost, PyTorch

Applications:
- Machine Learning, Deep Learning, Fraud Detection, Recommendation Systems, Computer Vision, Image Processing, Image Recognition / Classification, Natural Language Processing, Anomaly Detection.
Algorithms:
- Gradient Boosting, Deep Neural Networks, Convolutional Neural Networks, LSTM, R-CNN, Autoencoder, Transformer

Programming skills:
- Python (pandas, numpy, scikit-learn, jupyter),

Database skills:
-SQL