Kwaku Owusu

Developed and automated end-to-end data collection and reporting workflows for academic program assessment using Python, SQL, and Excel Developer, significantly reducing manual entry errors and improving turnaround time by 40%
Designed interactive dashboards in Power BI to visualize trends in student outcomes and institutional effectiveness, enabling faculty and leadership to make data-driven decisions aligned with accreditation standards (AACSB, SACSCOC, ABET)
Implemented machine learning and NLP techniques to extract insights from qualitative student feedback and surveys, streamlining assessment processes and uncovering patterns in learning outcomes for strategic planning

Analyzed and optimized operational logistics data to identify trends and inefficiencies in supply chain processes, implementing data-driven strategies that improved delivery times by 15%
Designed and maintained dashboards with synthetic KPIs to monitor warehouse productivity and transportation metrics
Automated repetitive reporting tasks using Excel Power Automate, reducing report generation time by 30%

Instructed 130+ undergraduate students in data analysis, statistical methods, and AI, developing hands-on training in Excel for data manipulation and visualization
Conducted economic policy research, analyzing large datasets with Python and Excel to extract insights and enhanced publications
Mentored junior GAs on teaching strategies and digital tools improving student engagement and analytical learning

Developed financial models and statistical analyses using Excel and Python to evaluate market trends, optimize risk management, and support financial audits
Delivered business analysis reports with actionable insights, improving decision-making, compliance, and audit accuracy
Automated data workflows, reducing reporting time by 15% and enhancing operational efficiency

Reconciled bank statements, prepared PVs, and implemented robust controls over financial data to ensure accuracy and compliance
Performed inventory analysis, identifying discrepancies and improving management
Supported budget and headcount forecasting, reducing inefficiencies by 10-15%