Joseph Adasoogo

Economics and data analytics professional pursuing an M.S. in Engineering Management, positioned at the intersection of financial/economic analysis and technical project delivery. Experienced in building financial and pricing models, running ROI, scenario, and sensitivity analysis, and applying econometric and optimization methods to infrastructure, energy, and public-policy problems. Proven ability to translate complex datasets into decision-ready dashboards and recommendations for finance, policy, and program stakeholders.

Advanced in Excel, Python, R, Tableau, and Power BI, with a track record of improving reporting accuracy and efficiency by 30-35%. Seeking roles in project/infrastructure finance, energy economics, data-driven engineering analytics, and climate-resilient infrastructure planning.

Junior Data Analyst - Living Sans Frontiers Inc. - Maryland, USA

(2023-09 - 2025-12)

• Built financial and operational models that optimized data processing workflows, improving efficiency by 30%.
• Designed interactive business intelligence dashboards (Power BI/Tableau) to support executive-level reporting and decision-making.
• Analyzed operational and research datasets to inform organizational planning, improving reporting accuracy and efficiency by 35%.
• Collaborated with multidisciplinary, cross-functional teams to translate analytical findings into actionable recommendations.

Research Assistant - Emporia State University - Kansas, USA

(2021-08 - 2023-05)

• Applied optimization and econometric techniques to model regional economic systems and evaluate policy/pricing interventions.
• Supported a faculty-led economic forecasting and simulation modeling project, contributing to model design and data analytics.
• Delivered workshops on data visualization, statistical modeling, and algorithmic problem-solving using Python and R.

Research Assistant - University of Cape Coast - Ghana

(2020-09 - 2021-08)

• Contributed to applied econometrics research modeling economic systems and quantifying policy implications.
• Designed instructional materials and led statistical analysis tutorials, strengthening applied quantitative reasoning.

M.S. - Engineering Management (2026-08)

M.S. - Informatics (Quantitative Economics Concentration) (2021-08 - 2023-08)

B.A. - Economics (2016-08 - 2020-07)