AI & Machine Learning Engineer | Python Automation & Data Analysis Specialist
Review of your ML classification or regression model, Performance metric analysis (Accuracy, Precision, Recall, AUC, ROC), Overfitting / underfitting detection, Cross-validation guidance, Feature importance interpretation, Practical improvement suggestions.
Data cleaning & preprocessing using Python, Feature engineering assistance, Pandas / NumPy support, Debugging, Python scripts, Basic REST API testing (Flask-based apps), Structured data workflow setup.
I am an AI & Machine Learning engineer with hands-on experience in building end-to-end ML systems, NLP-based chatbots, and credit risk modeling solutions. I specialize in data analysis, feature engineering, model evaluation, and Python-based backend integration using Flask and APIs. I have developed machine learning models for predictive analytics, built NLP-driven healthcare chatbots, and worked on structured credit risk scoring systems. I focus on writing clean, efficient Python workflows and delivering data-driven solutions with clear performance metrics. I can assist with machine learning model support, data preprocessing, API integration, automation workflows, and technical problem-solving tasks.