The expert boasts an impressive range of professional activity spanning training, statistics, ICT, telecommunications, institutional development, capacity building, science, innovation, and research. With fluency in Albanian, English, Italian, and Russian, they hold Albanian and Greek citizenships and have significant professional experience in Albania, Kosovo, and Switzerland.

In the realm of statistics and data science, the expert holds over 15 years of experience, serving as a Statistician, Consultant, and Associate Professor. They have made considerable contributions to strategy development through data management and statistical modeling. Their career highlights include delivering statistical analyses across various sectors such as retail, healthcare, finance, environment, and the public sector. They are proficient in tools like R, SPSS, Python, and MySQL, and have developed and conducted bespoke statistical training courses.

Their academic qualifications are extensive and credible. They are a PhD and Associate Professor of Statistics at the Polytechnic University of Tirana, Albania. They have an MSc in Computer Science and Software Engineering, System Analysis and Design from Peter the Great St. Petersburg Polytechnic University, and are an esteemed member of the Albanian Mathematical Association.

In terms of leadership roles, they have not only taught data science, statistical programming, and machine learning courses but have also led research projects integrating R, Python, and SAS. As a mentor, they guide students and colleagues in using statistical software to enhance their academic and professional pursuits, focusing on health statistics and policy evaluation.

Notable international collaborations include engagements with UNICEF, UNDRR, the Swiss Development Cooperation Office, and the International Organization for Migration. They've provided technical support on recalculating national statistics, developing guidelines, transforming datasets into strategic visuals and aligning projects with European Commission standards.

Technically, the expert is proficient in statistical analysis and modeling, machine learning, data management, algorithm development, and decision-making. They have cemented themselves as a valuable asset in leveraging technologies and methodologies to produce quality data insights. Proficiency in GIS technologies, office tools, and numerous programming languages has facilitated their capability to handle complex datasets and transform them into actionable insights with a measurable impact.

The expert consistently seeks to contribute to international projects like those of the European Commission's Eurostat unit, focusing on innovative data projects supporting transport statistics. Their diverse and profound experience in ICT, data science, and impactful international collaborations make them a formidable candidate in the development sector.