Emmanuel Marinos

Accomplished Data Scientist with a proven track record at Bball Index, where I streamlined data processes and significantly enhanced analytical efficiency through Python scripting. Expert in machine learning and statistical analysis, I excel in transforming data into actionable insights. My strong analytical skills and innovative approach to problem-solving drive continuous improvement and organizational growth.

Fraud detection: I developed a machine learning model for credit card fraud detection, utilizing PCA for dimensionality reduction and implementing various algorithms to classify transactions accurately. This system significantly improved the identification of fraudulent transactions, reducing financial losses and enhancing trust in the payment system. This robust fraud detection system significantly improved the identification of fraudulent transactions, reducing financial losses and increasing trust in the payment system.

Cost reduction forecasting: Developed a comprehensive machine learning solution to enhance supply chain efficiency through three key components: Demand Forecasting, Inventory Optimization and Transportation Optimization. This integrated approach led to significant cost reductions and enhanced operational performance within the supply chain.