Summary
Bora Pajo is an interdisciplinary social scientist and data-savvy academic leader with nine years of professional experience, currently serving as Department Chair and lead faculty for qualitative research methods and dissertation processes at Franklin University. Trained with a Ph.D. in Social Work/Sociology/Public Health and a Machine Learning Engineer Nanodegree, he blends rigorous quantitative and qualitative methods to tackle complex social and health policy questions. His background spans academia, state-level health policy analysis, and applied data systems work—most notably managing HMIS data to improve services for people experiencing homelessness. Bora publishes peer-reviewed research, mentors doctoral candidates, and translates methodological innovations into practical reporting and training for practitioners. Known for bridging theory and practice, he pairs deep subject-matter expertise with a genuine curiosity about AI and big data applications in social science. Based in Dublin, Ohio, he brings a pragmatic, impact-oriented approach to research design, data quality, and interdisciplinary collaboration.
9 years of coding experience
10 years of employment as a software developer
Master’s Degree, Sociology and Anthropology, Master’s Degree, Sociology and Anthropology at St. John's University
Machine Learning Engineer Nanodegree, Data Science, Machine Learning Engineer Nanodegree, Data Science at Udacity
Bachelor’s Degree, Law, Bachelor’s Degree, Law at Universiteti i Tiranës
Doctor of Philosophy (Ph.D.), Social Work, Sociology, Public Health, A, Doctor of Philosophy (Ph.D.), Social Work, Sociology, Public Health, A at Florida International University
English, Albanian