I will build explainable ai ml models

I build machine learning models that don't just predict they explain why. Using XGBoost, LightGBM, and SHAP/LIME, I create models that are both accurate and interpretable, which is exactly what most academic and business use cases need.

My flagship project, an explainable credit scoring system (AUC 0.82+), was presented as an IEEE paper at an international conference so this isn't theory, it's proven work.

What I offer:

• Data preprocessing & feature engineering
• Model building (XGBoost/LightGBM/stacking ensembles)
• Hyperparameter tuning with Optuna
• SHAP/LIME explainability plots
• Clean, documented Python code
• Optional Flask API deployment

Whether it's for a college project, research paper, or business use case, I'll deliver a model you can actually explain to someone else not a black box.