Ali Hafezi

Designed and developed an intelligent fraud detection system for dental services based on Machine Learning, Computer Vision, and Anomaly Detection to analyze patient records and automatically verify claims.

Reduced management reporting time by 75% by designing interactive BI dashboards using SQL and Power BI to monitor real-time KPIs and analyze customer purchasing behavior.

Increased net profit by 20% and customer base by 30% for the "Koodak-e Bahoosh" online shop through data analysis and OSINT — extracting insights from databases, social networks, and competitor websites to optimize pricing and identify market demand patterns.

Conducted stakeholder meetings for needs assessment and feasibility studies; aligned business strategies with data-driven architecture and managed the ML Lifecycle within Agile sprints.

Developed a Django-based website, deployed a database for storing, analyzing, and visualizing data, and designed training courses based on market demands — resulting in an 80% increase in enrollments during the first three months.

Designed ML model prototypes to optimize blast furnace parameters — demonstrated 5.5% reduction in fuel consumption and significant energy cost savings for industrial client.

Led quality control improvements by analyzing historical and real-time sensor data, enabling predictive maintenance and waste reduction.

Analyzed subscriber consumption data and implemented a Genetic Algorithm (GA) in MATLAB to formulate the load shifting problem. Conducted scenario-based evaluations of the potential for peak load adjustment on critical feeders.