M&A & Financial Intelligence

M&A Transaction Analytics & Financial Due Diligence

Private Equity & Corporate Clients

Enabled deal teams and clients to identify key transaction risks, assess quality of revenue, understand performance drivers, and evaluate post-acquisition value creation opportunities across multiple sectors.”
  1. 01

    The problem

    Private equity and corporate clients needed transaction analytics support to evaluate acquisition and divestment decisions across e-commerce, online retail, education, and software sectors. The work required rapid analysis of large transaction datasets, commercial KPIs, revenue quality, customer behavior, and profitability drivers.

  2. 02

    What Karthik shaped

    Karthik led and managed due diligence analytics workstreams across multiple transactions, translating raw operational and financial data into deal-relevant insights. He performed revenue, customer, cohort, profitability, and KPI analyses using SQL, Alteryx, Power BI, and Tableau, supporting both financial due diligence and post-merger integration planning.

  3. 03

    Decision/tool delivered

    Enabled deal teams and clients to identify key transaction risks, assess quality of revenue, understand performance drivers, and evaluate post-acquisition value creation opportunities across multiple sectors.

Business impact

  • Led M&A analytics workstreams across multiple sectors
  • Supported buy-side and sell-side transaction decisions
  • Analyzed revenue quality, customer behavior and profitability drivers
  • Converted raw transaction data into deal-relevant insights
  • Supported post-merger integration and value creation planning

Open to thoughtful conversations on M&A analytics, practical AI, decision systems, and business transformation.

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