Hana L. Hoxha serves as the Monitoring, Evaluation, and Learning (MEL) and Collaborating, Learning, and Adapting (CLA) Director at DT Global, where she plays a pivotal role in the USAID Investment Promotion and Access to Finance Activity in Kosovo. With over 15 years of professional...
Hana L. Hoxha serves as the Monitoring, Evaluation, and Learning (MEL) and Collaborating, Learning, and Adapting (CLA) Director at DT Global, where she plays a pivotal role in the USAID Investment Promotion and Access to Finance Activity in Kosovo. With over 15 years of professional experience, Hana leverages her extensive background in data science to enhance the project's impact on the private sector. Her expertise in applied data science, honed through her certification from MIT and her ongoing Ph.D. studies at The University of Ljubljana, allows her to implement robust monitoring frameworks that ensure data-driven decision-making.
In her current role, Hana is instrumental in designing and executing key projects aimed at strengthening the private sector's capacity for sustainable economic growth. By focusing on attracting and promoting investments while increasing access to diversified financial services, she ensures that the project meets its dual objectives effectively. Her skills in data visualization and logistic regression enable her to analyze complex datasets, providing actionable insights that inform strategic initiatives.
Hana's commitment to fostering a culture of learning and adaptation within the organization is evident in her approach to collaboration. She actively engages stakeholders to share best practices and lessons learned, facilitating a continuous feedback loop that enhances project outcomes. Her proficiency in market research and business analysis further supports the project's goals, as she identifies emerging trends and opportunities for growth. Through her leadership, Hana not only drives the success of the USAID initiative but also contributes to the broader economic development landscape in Kosovo, making her a key figure in the intersection of data science and economic policy.
