Itua Eriaye

Developed a machine learning model for shipping cost optimization, which reduced delivery time by 40%, and increased operational efficiency by 20% for a logistics company, resulting in a cost savings of $360,000 in two months. Utilized Python, Tableau, and TensorFlow to analyze 40,000 data points and identify trends, leading to a 6% reduction in shipping errors and a 8% increase in customer satisfaction ratings for an e-commerce company.

Analysed HR data to identify key trends in employee satisfaction and productivity, providing actionable insights and recommendations that informed HR strategy and improved workforce management. Applied advanced statistical techniques to predict critical HR outcomes, such as a 11 % reduction in voluntary turnover rate over a 6-month period and 20% reduction in cost-per-hire, enabling proactive decision-making and effective long-term HR planning. Implemented the Neocase management system, resulting in a 45% reduction in data errors and inaccuracies, and a 30% increase in HR efficiency.

Organization for the Prohibition of Chemical Weapons Nov. 2020 - Sep. 2022 (OPCW), The Hague, Netherlands Optimized project budgets, resulting in 17% cost savings across demilitarization projects through data-driven insights. Improved project timeline accuracy by 25% through enhanced SAP ERP utilization.