Ilva Prifti

Data science professional with a strong analytical background and over five years of professional experience across public administration, finance, and operations. Experienced in applying data-driven approaches to complex problems, with a solid foundation in statistics, econometrics, and computational methods. Currently specialized in general data science, including data analysis, machine learning fundamentals, text analysis, and data visualization using Python and R. Proven experience in risk analysis, monitoring and control of EU-funded programs, preparation of analytical and managerial reports, and management of structured datasets in compliance with regulatory and institutional standards. Strong understanding of policy-oriented data analysis, revenue forecasting, and evidence-based decision-making. Complemented by hands-on experience in procurement, inventory and operations management, performance monitoring, and coordination with multiple stakeholders, including public institutions, municipalities, suppliers, and clients. Recognized for strong problem-solving skills, adaptability, attention to detail, and the ability to translate complex data into clear, actionable insights for technical and non-technical audiences.