I will do natural language processing projects

I work with Natural Language Processing using Python, spaCy, Scikit-learn, and Hugging Face Transformers, covering text classification, sentiment analysis, named entity recognition, and semantic analysis.

I am entering the fifth and final year of my five-year Artificial Intelligence Engineering degree.

My academic training covers tokenization, stemming, lemmatization, Bag of Words, TF-IDF, PPMI, Word2Vec, GloVe, FastText, and contextual embeddings. I have studied traditional NLP algorithms such as Naive Bayes and SVM, alongside modern Transformer architectures, self-attention, BERT, and transfer learning. I understand how to prepare text datasets, select representations, train classifiers, and evaluate their performance.