
Tech M&A Valuation
Comprehensive valuation (DCF + Precedent Transactions) for a SaaS target.
READ CASE STUDY →I build rigorous valuation models and transaction materials—turning market ambiguity into deal conviction.
I’m Anika Sayeema, an early-career Investment Banking Analyst building strong fundamentals in M&A execution, valuation, and capital markets. I turn complex due diligence into clean, investor-ready outputs—DCF models, comp spreads, and pitch decks—with a focus on Wall Street standards: precision, speed, and analytical rigor.
I’m currently building a deal sheet that proves I can contribute on day one: Excel models that toggle, CIMs that persuade, and sensitivity tables that stress-test the thesis.
DCF, Trading Comps, and Transaction Comps.
EXCEL / FACTSETCIMs, Management Presentations, and Teasers.
POWERPOINT / THINKCELLLBO modeling, IRR analysis, and accretion/dilution.
EXCEL / CAPIQSupported senior bankers in M&A origination and execution. Built operating models and spread trading comps for $100M+ sell-side mandates.
Conducted industry research and screened potential buyer landscapes. Assisted in drafting CIMs and management presentations.

Comprehensive valuation (DCF + Precedent Transactions) for a SaaS target.
READ CASE STUDY →
Leveraged Buyout model determining IRR and debt capacity for a retailer.
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Excel • Auto-calculating multiples (EV/EBITDA, P/E).
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Excel • Sensitivity analysis & terminal value toggles.
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PowerPoint • Strategic rationale & deal structure.
READ PROJECT DETAILS →BUP University
2024Eden College
2022Awarded for excellence in SSC examinations.
Access detailed records of my work history and sample deliverables.
© 2026 ANIKA SAYEEMA. ROYAL PRECISION.
TLDR: Performed a comprehensive valuation for a hypothetical $500M enterprise value SaaS target. Constructed a 5-year DCF model with sensitivity analysis on WACC and Terminal Growth. Spread trading comps (finding 5-8 comparable targets based on margin profile and growth) to determine an implied EV/Revenue range. The final output is a "football field" chart triangulating the valuation range to inform bid strategy.
Valuing high-growth, loss-making SaaS companies is notoriously difficult. Traditional P/E multiples don't apply. The challenge was to defend a valuation range using rigorous methodology, rather than just applying a "rule of thumb" revenue multiple.
I used three methodologies to triangulate fairness:
Built a Stage-2 DCF. Projected Unlevered Free Cash Flow (UFCF) for 5 years. Assumed margin expansion as the company matures. Calculated WACC using CAPM (Beta levered from peers).
Selected a peer group of public SaaS companies with 20-30% growth. Calculated EV/LTM Revenue and EV/NTM Revenue multiples. Applied the median multiple to the target's financials.
Analyzed recent M&A deals in the vertical. Adjusted for control premiums paid in those deals.
A mature retail company is underperforming. A PE firm wants to know if they can achieve a 20%+ IRR via an LBO with 40% equity / 60% debt.
An automated Excel template for spreading trading comps. Features correct enterprise value adjustments (minority interest, leases) and auto-calc logic for LTM and NTM multiples.
Built the "Spreader" from scratch to handle different capital structures. Includes a summary tab that calculates Median and Mean multiples to drive valuation range.
A classic unlevered DCF model to value a target. Projects Free Cash Flow for 5-10 years and calculates Terminal Value using both Exit Multiple and Perpetuity Growth methods.
Constructed the model to be audit-friendly with clear color-coding. Added a "football field" chart to visualize the valuation range against current trading price.
A strategic presentation pitching a hypothetical acquisition. Includes market overview, target profile, strategic rationale (synergies), and valuation summary.
Created the storyline and all visual assets in PowerPoint. Used ThinkCell for waterfall charts and valuation football fields.