- Physicist, Msc in AI 📖
- Fluent in Python. Libraries: Numpy, Pandas, Matplotlib, Tensorflow, Keras, Pytorch, SciKit, Stable Baselines3, Spacy, Nltk, Opencv2, Tensorboard... 🖥️
- Deep Learning Skills (Convolutional Neural Networks, Recurrent Neural Networks, Deep Reinforcement Learning, Generative Adversarial Networks, Transformers, Neural Style Transfer, Data Augmentation...) 🤖
- Supervised Learning Skills (Random Forest, Support Vector Machines, Naibe Bayes...) ✅
- Unsupervised Learning Skills (Clustering, Principal Component Analysis, Outlier Detection...) ⚙️
- Digital Image Processing (Image Filtering, Kernels, SIFT, Object Detection, Image Segmentation) 🖼️
-Natural Language Processing (Twitter Sentiment Analysis, Word2Vec, Corpus Based Supervised Learning) 📜
- Analysis and Data Visualization 📈
- Maths and Physics Skills 📝