Machine Learning Projects

Selected Work

Project Case Studies

Three machine learning projects focused on intelligent language understanding, fraud auditing, and customer retention prediction.

Multimodal AI

An AI intelligence project designed to understand and process information from multiple input types for smarter language-based analysis.

Problem: Businesses often have information spread across text, documents, and mixed data formats.

Solution: Built a multimodal intelligence workflow to support better understanding and analysis of different data inputs.

Result: Improved the ability to extract meaning, summarize information, and support smarter decision-making.

Machine LearningNLPMultimodal AIPython

Fraud Detection

An AI-powered fraud auditing project focused on identifying suspicious financial patterns and helping reduce risk.

Problem: Financial data can contain hidden fraud signals that are difficult to detect manually.

Solution: Designed a fraud auditing workflow using AI-driven pattern analysis and anomaly detection concepts.

Result: Helped improve fraud visibility, risk review, and financial decision support.

Fraud DetectionAnomaly DetectionAI AuditorFinance

Churn Prediction

A customer retention machine learning project built to predict churn risk and help businesses take action before losing customers.

Problem: Companies often notice customer loss too late, after the relationship is already damaged.

Solution: Created a churn prediction workflow using customer behavior patterns and machine learning classification logic.

Result: Helped identify at-risk customers earlier and support better retention strategies.

Churn PredictionClassificationCustomer DataRetention AI