DEEPAK REDDY MARAMPALLI

FMVA certified

Throughout my graduate studies in International Economics and Finance and as part of my FMVA certification journey, I’ve led and contributed to several applied projects that bridge theoretical knowledge with practical financial and economic analysis.

One of my most impactful projects involved analyzing wage determination in the Indian Premier League (IPL). I used labor economics concepts such as marginal revenue product (MRP) and supply-demand theory to assess auction dynamics and player salary efficiency. By combining theoretical frameworks with real auction data, I gained a deeper understanding of how labor markets function in high-stakes sports environments.

In another key project, I conducted financial modeling and performance analysis on Tesla using historical data from 2021 to 2023. This involved constructing pro forma financial statements, calculating valuation metrics such as DCF and IRR, and interpreting financial health using profitability, liquidity, and efficiency ratios. It sharpened my Excel modeling skills and prepared me for real-world equity analysis tasks.

I also completed a time-series macroeconomic project using U.S. CPI data to study long-term inflation trends. This project involved data visualization, economic interpretation, and linking inflation behavior to monetary policy responses.

• Finance & Investment Club (Valparaiso University)
  Actively participated in group discussions and mock portfolio exercises focused on stock market trends, risk analysis, and valuation techniques. Contributed insights from FMVA coursework to support peer learning.
• Graduate Leadership Development Workshops
  Completed leadership self-assessments and team exercises based on The Leadership Challenge. Focused on improving team cohesion, communication, and goal-oriented decision-making in collaborative settings.
• Sports Economics Discussion Group
  Collaborated with peers to analyze real-world sports markets such as the IPL, applying supply-demand theory, wage determination models, and market structure evaluation to case studies.
• Academic Tutoring & Peer Support
  Volunteered as an informal peer tutor for classmates in economics and finance courses, helping others understand complex models, Excel-based calculations, and data interpretation.
• Cricket Enthusiast & Strategic Analyst
  Organized informal IPL auction simulations and match discussions, integrating statistical player performance and auction strategies to explore economic efficiency in sports.

• English (Fluent)
• Hindi (Fluent)
• Telugu (Fluent)

• Stock Market
• Behavioral Finance
• Data Science

As a graduate student in International Economics and Finance with a strong foundation in corporate finance, microeconomic theory, and financial modeling, I have consistently applied academic concepts to real-world scenarios. I am currently pursuing the FMVA® (Financial Modeling & Valuation Analyst) certification to further enhance my expertise in building advanced Excel models, performing company valuations, and conducting investment analysis.

I have conducted hands-on financial ratio analysis, forecasting, and pro forma modeling using publicly available financial statements, including projects involving companies like Tesla. I’ve developed discounted cash flow (DCF) models, evaluated investment opportunities using NPV and IRR, and assessed firm performance using ROA, ROE, and margin metrics.

In economics, I’ve applied marginal revenue product theory to analyze labor market decisions, particularly through a case study of wage determination in the IPL auction system. I’ve also studied international trade, currency fluctuations, and capital markets, with an emphasis on risk assessment and global regulatory environments.

Additionally, I’ve engaged in transfer pricing analysis, exploring how multinational corporations set intercompany prices for goods and intellectual property, and I’ve modeled the tax and economic implications of various pricing structures.

Through all of this, I’ve developed strong analytical, research, and data interpretation skills, combining economic reasoning with financial tools to deliver actionable insights.

• English (Fluent)
• Hindi (Fluent)
• Telugu (Fluent)