I need an experienced Natural Language Processing specialist to build a predictive model that learns from text data and produces accurate, repeatable forecasts. The project centers on end-to-end model creation: cleaning and preprocessing raw text, selecting the right architecture, training, and evaluating performance against clearly defined metrics. I will supply the text dataset along with the target variable I want predicted. You will decide on the most suitable NLP approach—whether that’s classical techniques with scikit-learn or a deep-learning stack such as TensorFlow or PyTorch—document your reasoning, and implement the solution in clean, well-commented Python. Deliverables: • Reproducible code (Jupyter notebook or .py files) with setup instructions • A trained model saved in a shareable format • Evaluation report outlining methodology, key metrics, strengths, and limitations • Brief hand-off session or concise written guide so I can retrain or fine-tune the model later Please include examples of similar NLP predictive projects you’ve completed and note any preferred libraries or toolkits. I’m ready to start as soon as I find the right collaborator and welcome your questions or initial thoughts on approach.