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About Candidate
Experienced Data Scientist and Analyst with a strong background in financial forecasting, fraud detection, and customer segmentation. Skilled in Python, SQL, and Excel, with a track record of building predictive models and interactive dashboards. Former Principal with expertise in leadership, process optimization, and academic management system development. Adept at leveraging data-driven solutions to enhance efficiency, security, and decision-making across diverse domains.
Location
Education
Industrial Mathematics and Statistics
Work & Experience
Analyzed large datasets and developed models to detect credit card fraud patterns, enhancing transaction security. Built predictive models using Python, SQL, and Excel for financial forecasting and risk management. Designed and implemented interactive dashboards to visualize financial data effectively. Developed machine learning models for customer segmentation to improve business decision-making.
Led organizational processes, demonstrating strategic leadership and analytical problem-solving. Collaborated with an IT team to develop a cost-effective academic management system using Excel and Google Cloud, optimizing school operations within budget constraints. Designed standardized assessments to monitor and enhance student performance metrics.
