Bipanjot Dhillon

Analyzed emerging challenges in AI governance, cybersecurity, and data policy to shape national advocacy strategies. Translated complex technical research into actionable policy insights for non-technical stakeholders.

Processed and analyzed large-scale water and infrastructure datasets to identify trends in usage, quality, and system performance. Designed and deployed Power BI dashboards to visualize key metrics and automated data cleaning workflows.

Identified gaps in proposed university policy changes and developed evaluation frameworks. Coordinated with stakeholders to track progress and ensure timely implementation of policy initiatives.

Identified gaps in refugee resettlement outcomes and conducted empirical economic research on employment, healthcare, and infrastructure impacts. Integrated large datasets and policy literature into evidence-based recommendations for policymakers.

Analyzed student conduct cases and applied policy frameworks to ensure fair and consistent adjudication. Identified inefficiencies in disciplinary processes and contributed to improvements in compliance and operational consistency.

Cleaned and validated datasets, improving data accuracy and reliability. Developed structured reporting systems, reducing data retrieval and reporting time by 20%.

Bachelor of Arts (Honours) in Economics from Queen's University, completed in April 2026.

Data Analytics Certification from Queen's University, completed in April 2026.

Prompt Engineering Certification from DeepLearning.AI, completed in December 2025.