Dominik Bulla

• Designed and developed use cases for the application of generative AI in the IT service desk. • Led and managed the prototype implementation, including the professional coordination of a working student and a software developer. • Analyzed and structured existing service processes and derived requirements for system development. • Conducted a data-driven cluster analysis of more than 1,200 customer tickets to identify key topic areas and recurring problem patterns as a foundation for building an AI-suppor

Advised senior management of two USAID-funded initiatives on analytical questions and methodological approaches for evaluating a school programme in Malawi and analysing the Rwandan school textbook market. • Advised senior management of two USAID-funded initiatives on analytical questions and methodological approaches for evaluating a school programme in Malawi and analysing the Rwandan school textbook market. • Designed and analysed a data-driven market segmentation of the Rwandan school textbook market b

• Developed standardized reporting tools and data processes for a cross-country child protection consortium to ensure consistent and comparable performance reporting across partner organizations. • Facilitated and led virtual workshops for non-technical stakeholders in country teams, enabling them to use the reporting tools consistently and confidently understand the underlying reporting logic. • Produced robust analyses and performance reports for internal and external stakeholders, creating the evidence b

• Developed Power BI dashboards for the interactive analysis of real-time data on UNHCR’s global protection approaches, Community-Based Development and Gender-Based Violence, supporting data-driven programme management. • Presented the dashboards to senior management in the Protection area; the solution subsequently served as a conceptual template for further internal dashboard applications. • Produced analytical reports on trends in resource allocation and programme performance across both protection appro

• Led the design and quantitative analysis of a quasi-experimental midterm evaluation for a large-scale education programme across 360 UNRWA schools in the West Bank and Gaza. • Applied a difference-in-differences approach to assess programme effects on gender-equitable access and learning-supportive school environments. • Translated complex analytical findings into clear, actionable recommendations for programme management, operational decision-making, and international stakeholders.

• Enabled strategic market segmentation by developing and managing a nationally representative household survey with 5,000+ cases, providing robust insights into target group behavior and media use. • Generated data-driven recommendations for shaping a nationwide media campaign to strengthen girls’ rights, based on multivariate analyses and behavioral data. • Established an integrated research framework that engaged internal teams and external partners in data-driven decision-making processes, strengthening

• Designed and led large-scale analytical and quasi-experimental studies across education, WASH, and financial inclusion programmes in complex international settings. • Developed performance measurement, monitoring, and verification frameworks to support evidence-based decision-making and results-based programme management. • Oversaw multi-country data collection, analytical design, and reporting across programmes in Sierra Leone, Bangladesh, Pakistan, and other international contexts. • Translated complex

• Conducted analytical research on poverty, employment, and economic opportunity in low- and middle-income countries. • Synthesised complex evidence into clear, policy-relevant insights and recommendations. • Co-authored two policy guides translating research findings into practical guidance for decision-makers.

Dissertation on achievement motivation among Rwandan secondary students, with a focus on motivational processes and learning behavior. Developed and validated research instruments and applied quantitative and qualitative methods, including multilevel modeling, SEM, R, and Mplus.

Course completed with distinction (72%). Modules covered all major estimation frameworks (e.g. OLS, GLS, GMM, ML, non-parametric), discrete choice models, longitudinal analysis frameworks, systems of simultaneous equations, analysis of treatment effects, quantile regression, and time series models