I am looking for an experienced AI/ML developer to build and evaluate machine learning models for a research-based project. Project Requirements: 1. Build and train machine learning models using Python. 2. Perform data preprocessing, feature engineering, and exploratory data analysis (EDA). 3. Implement and compare multiple models such as: * Logistic Regression * Random Forest * Support Vector Machine * XGBoost * Deep Learning models (CNN/LSTM if required) 4. Evaluate models using performance metrics such as: * Accuracy * Precision * Recall * F1-score * Confusion Matrix * ROC-AUC 5. Provide clear Python code using libraries such as: * NumPy * Pandas * Scikit-learn * TensorFlow or PyTorch * Matplotlib / Seaborn 6. (Optional but preferred) Implement Explainable AI techniques such as SHAP or LIME for model interpretation. Deliverables: * Well-documented Python code * Model comparison results * Evaluation metrics and visualizations * Brief explanation of methodology This project is intended for research purposes, so clean code and proper documentation are important. Please include examples of similar AI/ML work in your proposal.