This is

Vaishnavi.

Financial Analyst • FP&A • Valuation

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About Vaishnavi

Hi, I'm Vaishnavi Reddy, a financial Analyst with a strong interest in FP&A, valuation, and financial analytics. I hold a Master's degree in Finance from the University of Massachusetts Boston and enjoy working at the intersection of finance and data, where structured analysis supports sound business and strategic decisions.

I focus on building practical, end-to-end finance projects using Excel, Python, SQL, and Tableau, including budgeting and forecasting models, variance analysis, and performance dashboards. Now, I'm looking to bring this blend of technical skill, analytical thinking, and business sense to teams working in financial analytics, data-driven strategy, or innovation-focused environments, especially where data and technology create meaningful impact.

Want to see how I work?

"Run the Quarter"

See how Vaishnavi approaches real-world financial decisions under constraint.

Understanding the Framework

Each decision below is structured around three core elements:

1

Scenario

The business context, incomplete information, time pressure, and constraints faced

2

Decision

What was chosen, what was deprioritized, and confidence level at the time

3

Observed Patterns

What this reveals about analytical thinking and judgment — not outcomes

Overall Verdict: What This Reveals About Vaishnavi

Core Analytical Strengths

→ Business-First Thinking: Consistently prioritizes understanding the business model and drivers before diving into mechanics or optimization
→ Signal Detection: Demonstrates strong ability to separate material risks from accounting noise and timing issues
→ Intellectual Honesty: Refuses to sugarcoat reality for political or narrative purposes while maintaining credibility
→ Strategic Synthesis: Naturally connects operational changes to financial impacts and valuation implications
→ Executive Communication: Frames analysis for action and provides leadership with clear, repeatable language

Ideal Fit For

Vaishnavi would excel in roles requiring:

• FP&A Leadership: Building forecasts, variance analysis, and board-ready reporting under time pressure
• Strategic Finance: Translating operational changes into financial and valuation impacts for leadership
• Financial Analytics: Working with incomplete data, building scenario models, and communicating uncertainty
• Corporate Development: Valuation sensitivity, business model assessment, and risk quantification
• Investor Relations / Corporate Strategy: Crafting executive narratives that balance transparency with confidence

Bottom Line: Vaishnavi demonstrates the analytical maturity and judgment that separates good analysts from strategic partners. She doesn't just report numbers: she provides context, identifies what matters, and helps leadership make better decisions under uncertainty. These aren't skills taught in textbooks; they're behavioral patterns developed through experience and refined through repeated exposure to high-stakes decisions. She's the analyst who makes everyone around her sharper.

Resumé

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Certifications

CFA Program Level - 1

Qualified

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Financial Modeling & Valuation Analyst

(FMVA®)

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Projects

Equity Research & Analysis

NextEra Energy (CAPSTONE PROJECT)

Conducted a full equity research analysis, developing a BUY recommendation supported by a detailed review of business fundamentals, long-term growth drivers, and valuation-based insights.
Built a 5-year forward DCF model in Excel with three valuation scenarios, estimating intrinsic value and assessing sensitivity to revenue growth, margins, and cost of capital.
Analyzed 6+ years of financial statements and operating metrics, focusing on cash-flow generation, and capital structure

Laudit

An AI-Powered Financial Due Diligence Simulator

Laudit is an AI-powered financial due diligence simulator designed to detect anomalies, manipulation, and risk in company financials — combining audit science with modern analytics.
Built from scratch using Python, Streamlit, and machine learning (Isolation Forest, ARIMA, Benford's Law).
Audited multi-year financial statements and flagged irregularities with over 90% accuracy in simulation tests.
Delivered interactive dashboards and red flag alerts for revenue quality, liquidity, solvency, and earnings sustainability.
Integrated auto-generated forensic summaries and audit trails for review traceability.
Developed KPI ratio engines (Altman Z-score, Piotroski F-score) and visualized over 20+ health indicators in real time.

Market Sentiment Valuation

Designed a structured research framework to analyze how market sentiment impacts valuation multiples across 8-10 publicly listed companies, comparing behavior across different market regimes.
Extracted, cleaned, and organized 50k+ rows of financial, pricing, and market data using SQL, enabling consistent cross-company analysis.
Used Python (pandas, NumPy) to compute 15-20 key valuation and performance metrics (P/E, EV/EBITDA, margin trends, return measures) and quantify valuation dispersion under varying sentiment conditions.

Financial Modeling: Starbucks Corp

Built a multi-year financial model for a new Starbucks wellness beverage, forecasting revenue, costs, and cash flows across a 10-year horizon.
Analyzed pricing, operating margins (~15%), and launch investment assumptions to evaluate product-level profitability and scalability.
Performed scenario and sensitivity analysis (base, upside, downside) to assess financial viability, including NPV and IRR outcomes under different adoption rates.