À propos de Ajinkya
Ajinkya Deshmukh
A high-impact finance professional with a specialized track record in Restructuring, Credit Risk, and Private Equity. Having recently completed a Master in Finance at IE Business School (Ranked 12th Globally by FT'24) and international exchange at HKUST, he brings a sophisticated technical toolkit that combines distressed debt expertise with advanced financial modeling in Python and R.
Throughout his career, Ajinkya has executed over $1.5 billion in transactions across Digital Infrastructure, Energy, Real Estate, and Telecom sectors. His core expertise lies in navigating complex capital structures, where he has successfully developed stochastic default models (Monte Carlo), 13-week liquidity waterfalls, and recovery scenarios to secure creditor approval on high-stakes restructurings.
His deal experience is marked by a unique blend of advisory and principal-side perspectives:
- Restructuring & Credit: Managed the modeling and negotiation for a $155M US Energy Distributor restructuring and an $85M German Real Estate recovery, achieving creditor acceptance rates as high as 88%.
- M&A & Private Equity: Spearheaded the valuation and diligence for a $145M EU infrastructure acquisition and supported a $98M SaaS private placement, consistently underwriting double-digit IRRs.
- Special Situations: Expert in Orderly Liquidation Value (OLV), carve-out capital structures, and building earnout mechanisms to bridge value gaps in distressed telecom and chemical acquisitions.
- Digital Infrastructure: Currently optimizes debt capacity and credit-spread sensitivity for large-scale data center rollouts, leveraging infra-specific KPIs to drive lender-viable financing structures.
Ajinkya’s background is further distinguished by his dual-degree in Business and Law (BBA-LLB) and having cleared CFA Level 1, allowing him to bridge the gap between complex legal covenants and rigorous financial analysis.
Anglais
Bilingue ou natif
Espagnol
Capacité professionnelle limitée
Marathi
Bilingue ou natif
Hindi
Bilingue ou natif
Allemand
Notions
Accepte de travailler sur site
Madrid (jusqu’à 50 km)
Expériences
- Nubo Corporation LTD. (Digital Infrastructure)Associate, Founder's OƯiceCONSEIL & AUDITaoût 2025 - Aujourd'hui (10 mois)Madrid, Spain• • Benchmarked EU digital-infrastructure cost diƯerentials (cloud, network, storage) across 6 markets, identifying an 18% reduction in data-center expansion costs and improving lease-vs-build feasibility.• • Built pan-EU city scoring model using infra KPIs (latency, network €/Gbps, €/W, vacancy, utilization), narrowing 6 cities to 3 priority locations for future data-center rollout.• • Prepared investor materials, cashflow forecasts, financing packs and coordinated 10 plus sponsor interactions (updates, diligence Q&A, model reviews).
- LegaLogic Consulting, M&A AdvisoryAdvisor, M&ACONSEIL & AUDITjuin 2023 - janvier 2024 (7 mois)Pune, Maharashtra, India• • Advised on $88m US telecom acquisition, building DCF (FCFF & FCFE), trading comps and precedent analysis; structured EBITDA-based earnout enabling LOI to deal closure within 2 months.• • Led valuation for a $145m EU youth hostels business, owning DCF & SOTP models, normalizing WACC andoccupancy revenue cases; delivered IM in 6 weeks, triggering due-diligence kickoƯ and term sheet within 50 days.• • Originated investors for $75m US logistic company; took charge of LOI, diligence, term sheet and IM for a $75m APAClogistic, streamlining valuation workbooks and data room structure; reduced diligence timelines by 20%.
- Lodha Group (Private Equity Division)Consultant, Private EquityCAPITAL-INVESTISSEMENTavril 2022 - février 2023 (10 mois)Mumbai, Maharashtra, India• • Originated and valued real estate developers across US using income, DCF and market-comps approaches, producing 6 actionable targets and supporting a $110m investment through LOI & term-sheet negotiations.• • Supported a $98m private placement in a US SaaS company by building DCF and LBO models, drafting investment memos and coordinating diligence through term sheet execution, underwriting a 26% projected IRR.• • Assisted in structuring $800m technology-focused investment fund, preparing PPMs, LP decks and waterfall models; achieved 15% oversubscription and reduced fundraising costs
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Formations
- Master in FinanceIE Business School2025Master in Finance
- MSc FinanceHong Kong University of Science & Technology2025MSc Finance