Professional Overview
Daniel Haller is an experienced data manager with over 10 years of expertise primarily within the public sector. He is currently affiliated with UC Berkeley Extension, where he applies his extensive skills in data management and analysis to support education and administrative functions.
Current Role and Institutional Context
Daniel works at UC Berkeley Extension, a continuing education division of the University of California, Berkeley, known for delivering professional and academic programs designed to support career advancement and lifelong learning. His role involves managing complex data systems and contributing to instructional and executive education programs, notably within the legal and AI education domains.
Location
Based in Vallejo, California, Daniel operates within the Northern California regional corridor, proximal to Berkeley and the broader San Francisco Bay Area, an important hub for technology, education, and innovation.
Educational Background
- Occidental College (2007–2011): Focused on Early American History, indicating foundational analytical and research skills.
- Further education includes advanced coursework and specialized training completed between 2018 and 2021, although specific institutions and programs are partially redacted, the timeframes show continued professional development likely related to data, analytics, or technology.
- Holds a Statistics with R Specialization certification issued by Coursera in August 2018 (Credential ID: VGGZHS9E5VQM), highlighting proficiency in statistical programming and data analysis.
Key Skills and Competencies
- Database management: Proficient in managing large datasets, ensuring data integrity and accessibility.
- Query building and report analysis: Skilled in extracting, synthesizing, and presenting complex data insights tailored for organizational needs.
- Mentorship and leadership: Recognized by a professional recommendation as a leader and effective mentor within his teams, consistently delivering accurate and timely workloads.
Professional Engagement and Affiliations
- Active LinkedIn presence with 147 followers and a network of 144 connections, indicating a moderate professional footprint and engagement in relevant educational and data management communities.
- Participates in educational initiatives related to AI and law, including involvement or promotion of new AI-focused master’s degree programs within Berkeley Law Executive Education.
- Engagement with conferences such as Stable Summit (held July 6-7 in Brussels), suggesting a role or interest in emergent technologies and international professional dialogue around AI and data.
Relevant Interests and Industry Insights
- Advocates and supports AI education innovation, evidenced by his public endorsement of Berkeley Law’s AI curriculum developments and active sharing of related advancements.
- His professional activity reflects alignment with significant trends in education management, such as digital literacy enhancement, remote learning adaptation, and AI integration into higher education curricula.
- Well-informed about public sector education programs and policy trends in California, including equity-focused initiatives for underserved student populations and educational technology enhancements.
Daniel Haller represents a data management professional embedded within one of the nation’s leading continuing education providers, combining extensive analytics expertise, commitment to continuous education, and active involvement in AI-driven educational innovation. His experience managing data at UC Berkeley Extension and his connections to law and AI programming position him as a key resource for data-driven educational program development and analysis initiatives.
