Entry № 001 · Volume I · Financial Due Diligence (FDD)
GL Entity Resolution for PE & FDD — the duplicates and related-party risk manual dedup misses.Swastik
Chaturvedi
FDD analyst, ~3 years of experience on US PE client engagements across QoE, valuation, and M&A support at a financial due diligence firm. CA Final Group 2 qualified, CFA Level 1 in progress.
“I build entity resolution for PE and FDD engagements that survives the question every partner or counsel asks: why did you merge these two?”
● Verified practitionerFDD analyst~3 years of experience on US PE client engagements across QoEvaluationand M&A support at a financial due diligence firm. CA Final Group 2 qualified
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Skills
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Track record
Proof points.
Catch name variants that exact-match tools miss — exact-match approaches catch only 30-40% of duplicates; punctuation, abbreviations, typos defeat them.
Flag related-party and shell-vendor patterns hiding below materiality cutoffs — suspiciously clean patterns like round-dollar amounts recurring to obscure names are flagged as investigation targets, not normalized away as noise.
Every cluster decision is documented with structured rationale — paid deliverable includes structured audit-trail log showing cluster-by-cluster reasoning.
Ambiguous material-dollar clusters reviewed by expert before delivery — escalation rule routes high-materiality, ambiguous-confidence, or multi-factor-suspicion clusters to expert manual review before client sees output.
Calibrated rigor matched to downstream use-case — a lender's DSCR calculation tolerates more tail-end looseness than a related-party disclosure schedule going in front of counsel.
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How this begins
A pitch deck pressure-testing for seed-stage saas & fintech, previewed.
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