I am a finance professional with a strong interest in translating complex financial information into data-driven decisions that create measurable value. My approach to finance is grounded in disciplined analysis, strategic thinking, and a long-term perspective, guided by the belief that capital is most effective when deployed with rigor, insight, and patience. I hold a Master of Science in Finance from the University of Massachusetts Boston, where I developed a solid foundation in financial modeling, valuation, forecasting, cash-flow analysis, and analytical storytelling to support informed decision-making.
Professionally, I bring nearly two years of experience in Growth Finance, where I have supported business expansion initiatives through financial analysis, performance tracking, budgeting, and forecasting. I am actively seeking full-time opportunities in Finance, Equity Research, FP&A, Analytics, Risk, or Strategy, where I can add value as a thoughtful, business-oriented analyst while continuing to deepen my technical expertise and professional growth.
Collaborated with a team to conduct comprehensive equity research, including building a detailed three-statement financial model, performing DCF and relative valuation (Comps), and conducting scenario and sensitivity analyses. Developed an investment thesis supported by KPIs, market trends, and risk assessment, culminating in a professional research report and investor presentation. Recognized as a Regional Finalist for analytical rigor, clear communication, and actionable insights.
Bloomberg Market Concepts
Completed Bloomberg's Market Concepts program, gaining practical knowledge in financial markets, including equities, fixed income, currencies, and economics. Developed proficiency in Bloomberg Terminal tools for market analysis, data visualization, and real-time decision-making, enhancing ability to interpret market trends and make data-driven investment and financial recommendations.
Projects
Capstone Practicum Stock Pitch – United Parcel Service, Inc. (NYSE: UPS)
Issued a BUY on UPS with a $139.33 target (+43% upside), piping (7.8% WACC; 9.8x exit EBITDA), Comps (7.5x EV/EBITDA). Recast UPS as an AI-driven, platform logistics ecosystem, surfacing SaaS-style margin lift via ORION, Healthcare, Global Checkout. Positioned the pivot to logistics intelligence, aligned with deglobalization, automation, and supply-chain resilience tailwinds.
CFA Research Challenge Equity Report - HubSpot Inc. (NYSE: HUBS)
Competed in the 2025 CFA Research Challenge and issued a strong BUY recommendation on HubSpot (NYSE: HUBS) with a $838 target price (19.3% upside from the January 3, 2025 price of $702.85), driven by its leadership in the fast-growing SMB CRM market, AI-powered platform, and resilient subscription-based growth. The report highlights HubSpot's user-friendly freemium model, superior positioning against enterprise-focused giants like Salesforce, consistent 20%+ revenue growth, improving margins, and a clean balance sheet as key reasons for the bullish outlook.
Global Portfolio Investment Management Report
This report analyzes a concentrated, equity-heavy satellite portfolio for a university endowment with a perpetual horizon and moderate-to-high risk tolerance, benchmarked against the MSCI ACWI, prioritizing capital preservation, sustainable growth, and risk-adjusted returns to fund scholarships, research, and initiatives. The thematically driven allocation overweights technology, clean energy, and emerging markets for high-conviction alpha generation, diverging from broad market weights while incorporating low-correlation commodities like CERY for downside protection and diversification.
Relationship Between Unemployment And Economic Growth
Explored the relationship between unemployment and economic growth in the U.S., using time-series data from FRED and Kaggle to examine how GDP growth, inflation, and interest rates influence unemployment rates. Key findings from the simplified model (97 observations, R² ≈ 0.52): unemployment drops 0.055% per 1% higher GDP growth (significant, aligns with theory), but unexpectedly falls 1.82% per unit rise in interest rates (counterintuitive, possibly due to structural factors or data specifics).
Netflix's Risk Management Strategy
This study proposed a hedging strategy using forwards, futures, swaps, and options to mitigate non-systemic risks (especially FX volatility), while highlighting benefits like stabilized cash flows and clearer future financial visibility, drawing from Netflix's 10-K disclosures. Quantitative elements included Monte Carlo simulation to estimate probability of default and an options model, aiming to demonstrate practical application of financial engineering for risk reduction without sacrificing profitability.
1,000,000 Virtual Portfolio Allocation
Constructed a virtual $1,000,000 portfolio of 25 assets (primarily equities and ETFs), with heavy emphasis on IBM and Procter & Gamble as advised by the professor. The report covered key concepts including portfolio construction, risk/return calculations (expected return, standard deviation, beta, CAPM, Fama-French, APT), diversification to reduce firm-specific risk, mutual fund distinctions, margin/short selling mechanics, insider trading implications, and firm valuations via dividend discount models.
Investment Decision Framework
See how Anuhya approaches equity research, portfolio construction, and investment decisions
Understanding the Framework
Each decision below is structured around three core elements that reveal analytical thinking:
1
Scenario
The investment context, available information, constraints, and market conditions faced
2
Decision
What was chosen, what was excluded, the analytical process, and conviction level
3
Observed Patterns
What this reveals about research methodology, risk assessment, and investment judgment
Overall Assessment: What This Reveals About Anuhya
Core Investment Strengths
Business-First Valuation: Consistently prioritizes understanding business fundamentals, competitive positioning, and sustainable advantages before building financial models
Quality Over Momentum: Focuses on durable competitive moats, management quality, and capital allocation discipline rather than chasing near-term price action
Risk-Adjusted Thinking: Demonstrates sophisticated understanding of downside protection, portfolio diversification, and scenario analysis
Disciplined Conviction: Builds high-conviction positions based on rigorous research while maintaining humility about what's unknowable
Long-Term Orientation: Structures analysis around 3-5 year investment horizons, focusing on compounding and sustainable value creation
Ideal Fit For
Anuhya would excel in roles requiring:
Equity Research: Building detailed company models, conducting primary research, and producing actionable investment recommendations
Investment Analysis: Evaluating investment opportunities, conducting due diligence, and presenting insights to decision-makers
Corporate Finance: Capital budgeting, M&A analysis, valuation work, and strategic financial planning
Financial Analytics: Developing quantitative frameworks, stress-testing assumptions, and translating data into insights
Bottom Line: Anuhya demonstrates the analytical rigor and investment discipline that separates research from speculation. She doesn't chase stories: she builds investment cases grounded in business fundamentals, sustainable competitive advantages, and margin of safety. Her approach combines quantitative modeling with qualitative judgment, financial analysis with strategic thinking, and conviction with intellectual honesty. These aren't skills learned from textbooks alone; they reflect a mindset developed through rigorous research, pattern recognition, and a genuine curiosity about how businesses create value. She's the analyst who makes portfolios more resilient and investment decisions more sound.
