My name is Ogleh!

I am graduating with BA in Economics and BSB in Supply Chain Management at the University of Minnesota. Over the last 3 years, I have worked in Consulting, Corporate Strategy, Supply Chain, and IT through internships, pro bono projects, and work experience.

Some projects I have worked on include:

  • Worked with VP of Strategy of a Fortune 500 manufacturing company based in Wisconsin in various projects including change management, customer satisfaction, and supplier relationship management

  • Developed the Cybersecurity policy for a global non-profit organization owning 170+ consulting branches across 30+ countries

  • Supported the strategic planning process for a major global automotive company. Conducted significant market research, benchmarking, and data analysis while working with various stakeholders

  • Developed and coded a tool to capture human behavior using OpenCV and Python (Computer Vision)

Economics Research Papers 📝

  • This analysis examined the impact of the TRIPs agreement on the trade of pharmaceutical products between India and the UK, using data on exports and imports. The results showed that while exports increased by $63.85 million and imports increased by $16.24 million after the implementation of the agreement, these changes were not statistically significant. This suggests that the TRIPs agreement did not have a significant impact on the trade of pharmaceutical products between the two countries. Furthermore, the H-O model was applied to the trade relationship between India and the UK, revealing that India exports more generic drugs than it imports, as it is a labor-abundant country with a comparative advantage in this area. Conversely, India imports new innovative drugs from the UK, which are not as widely used as generic drugs. These findings suggest that the H-O model holds in the trade relationship between India and the UK. Additionally, GDP as a measure of well-being remained consistent before and after the TRIPS agreement.

  • This empirical analysis investigates the impact of welfare programs, specifically the

    Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for

    Needy Families (TANF), on poverty rates in the United States. Using regression

    discontinuity design (RDD), the study aims to discern the causal effects of SNAP on

    poverty reduction and productivity enhancement. While the analysis offers insightful

    findings, the results remain inconclusive. Although there is suggestive evidence of a

    potential decrease in poverty rates following the introduction of SNAP, statistical

    significance is lacking. Moreover, the low explanatory power of the model suggests

    that factors beyond SNAP participation may influence poverty rates. Despite these

    challenges, the study contributes to the ongoing discourse surrounding welfare

    programs and poverty alleviation strategies, underscoring the complexity of assessing

    their impact and highlighting the need for further research.

Industry: Manufacturing

Projects: Supplier Relationship Management, Customer Satisfaction Measurement, Strategic Sourcing

Industry: Automotive, Manufacturing

Projects: Strategic Planning, Ecosystem Strategy, Market Research, Corporate Strategy, GM Car Parc Data Consolidation

Projects & Experience 🚀


Industry: Manufacturing, Construction

Projects: Process Improvement, Continuous Improvement, Quality Control, Tool Designing, ERP implementation

Industry: Affordable Housing, Property Management

Projects: Business Model Development, P&L analysis