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 80% by designing and developing interactive BI dashboards using SQL and Power BI for KPI monitoring and customer purchasing behavior analysis.

Analyzed operational data and translated insights into data-driven solutions — from data understanding and feasibility analysis through design, development, and evaluation of analytical solutions and ML models within an Agile/Sprint framework.

Developed automated web scraping and OSINT data-collection workflows to gather and structure data from competitor websites, social media, and internal databases; performed data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis to identify pricing and market-demand patterns.

Built data-processing and analytical workflows using Python, SQL, and web data sources to integrate heterogeneous datasets and generate actionable insights for pricing and market analysis.

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.