Arcesium LLC (Global fintech powering AI-driven investment data operations) | Bengaluru

Manager - Product Control

• Delivered an end-to-end accounting-platform migration for an at-risk $9B private-credit client by leading a 7-member global team, holding post-migration P&L accuracy on 99% of trading days across 2M positions thereby rescuing a multi-million-dollar relationship.
• Owned the product-control design for alternative-loan workflows on the foundational build of a data platform, defining the business logic and engineering-ready specifications, later adopted as the segment standard and reused across 5+ client onboardings.
• Grew the flagship private-credit engagement by 35% and secured $3M in new annual revenue by co-authoring a four-workstream expansion strategy that extended scope from pure P&L production into NAV oversight, treasury and regulatory reporting.
• Redesigned the reconciliation operating model for a $22B book, embedding automated break categorisation that links position-level mismatches to downstream reconciliations; streamlined cycle time by 45% to 3 hours and strengthened valuation-policy compliance.
• Built the business case to automate 12 manual workflows spanning loan-servicer processing, swap notional resets and repo accruals, modelling ~$800K annual savings on a $200K build; won funding and delivered the rollout across three quarters.
• Presented quarterly operations reviews to the client's C-suite on a $9B mandate, covering NAV timeliness, exception ageing and the remediation roadmap; recommended process and coordination changes that fed their 2025 operations-transformation agenda.
• Deployed a GenAI automation workflow using Claude that converts daily position and P&L data into client-ready commentary and exception narratives, replacing 30 hours of monthly manual drafting and lifting same-day delivery from 60% to 95%.

Senior Analyst

• Re-engineered the month-end NAV close for a $9B fund, process-mapping 60+ tasks across five functions and removing 12 handoffs; led to a 38% improvement in month-end reporting time (from 8 to 5 days) and sustained it through 2 audit cycles.
• Led the workflow design of an automated loan-processing platform, partnering with product and tech on schema and validation rules to book daily activity across 2M+ loan positions; decreased daily processing time by 3 hours and scaled it across new private-credit clients.
• Directed the operational response to a market dislocation on a $7B book across a four-week stress period, sustaining daily NAV with zero breaks and briefing the client CFO through 12 situation memos.
• Stood up a weekly cross-functional variance-governance forum with the client's controllers and trading desk on a $7B book, reducing unexplained variance 50% in six months and surfacing 3 valuation-policy gaps escalated to committee.
• De-risked a pricing-systems migration for a $5B OTC derivatives book, mapping 40+ instrument types and building a parallel-run validation; subsequently achieved a clean cutover with zero pricing breaks.
• Architected a security-aggregation data model for high-volume loan portfolios that trimmed processing volume 80% and shortened new private credit client onboardings from 20 to 8 weeks, creating capacity for 30 to 40% more go-lives a year at lower marginal cost.
• Developed a structured 90-day capability ramp for incoming analysts across SQL, P&L attribution, NAV reporting and client communication, mentoring 5 to independent contribution within the window; 2 progressed to Senior Analyst within 15 to 18 months.

Analyst

• Modelled a six-factor P&L attribution framework for a $5B long-short equity, F&O and fixed-income book, tracing a persistent $800K residual to corporate-action timing on special dividends and spin-offs; drove a fix that cut monthly unexplained P&L by 80%.
• Detected a $3.5M mismatch from stale OTC pricing feeds on an $11B multi-asset book during routine variance review, escalated to the Head of Controllers, and partnered with engineering on a permanent fix that averted 2 NAV restatements and cut daily exceptions 60%.
• Owned 2 SOC 1 Type II audit cycles on a $15B fund engagement, supplying break-investigation evidence and control proofs directly to the external auditor (EY) and standing behind the valuation and reconciliation controls under sample testing; both cycles closed clean.
• Uncovered a credit spread modelling error understating marks by $2M+ over 3 months while benchmarking internal pricing against counterparty for a $4B derivatives book; partnered with the valuation team on a policy revision dropping month-end variance 35%.

KPMG (Big Four global professional services firm) | Gurugram

Associate Consultant - Corporate Finance - M&A

• Structured the target-screening analysis for a European EV two-wheeler M&A engagement, authoring 12+ company profiles and a sector pack on the European EV two-wheeler landscape that senior bankers used to shortlist targets and frame the buy-side thesis.
• Sized the European EV two-wheeler market across core geographies and price tiers, synthesizing registration data and third-party forecasts into a ~25% CAGR view (2019 to 2025) that quantified the addressable opportunity behind the acquisition rationale.
• Triangulated the valuation of the shortlisted targets against a 30+ company global peer set, applying comparable-company and precedent-transaction analysis and benchmarking EV/EBITDA and P/E multiples to anchor the pitch-book valuation ranges.

ICA Infotech (India's leading vocational accounting and finance institute) | Kolkata

FP&A Associate - Finance

• Rebuilt the forecasting process by incorporating a driver-based model across five business units, minimizing monthly forecast error (MAPE) from 9% to 5% and delivering the FP&A pack within T+3 with 98% on-time reliability.
• Drove adoption of the driver-based model as the standard monthly planning tool across all five business units, thus replacing the fragmented spreadsheet process with a consistent basis for budget conversations.
• Formulated on-demand cost and pricing scenarios for business-unit leads under tight monthly-close deadlines, sizing the P&L impact of ~8 initiatives to inform budget and pricing decisions across five units.

• ⁠Promoted to Manager 25% ahead of the standard track for leading a key multi-billion-dollar hedge fund client onboarding.
• ⁠ Awarded the CFA Charter Award by the CFA Institute after clearing all 3 levels.
• ⁠ Won the 'Think Beyond' Award in Arcesium's firm-wide Hackathon under Process Hack Category.
• ⁠ Awarded the Spot award for exceptional client service delivery.

• MBA, Indian Institue of Management, Ahmedabad, Ahmedabad, India
• CFA Charter holder, CFA Institute, Virginia, USA
• PGDM (Finance & Data Analytics), Lal Bahadur Shastri Institute of Management, New Delhi, India
• BCOM Honours (Accounting and Finance), University of Calcutta, Kolkata, India

• ⁠ Charted Financial Analyst, CFA Institute
• ⁠ Pre-MBA Statistics by IIM Ahmedabad
• ⁠ Excel Skills for Business: Advanced by Macquarie University
• ⁠ Tableau 2020 A-Z: Hands-On Tableau Training for Data Science, Udemy
• ⁠ Alteryx Bootcamp, Udemy

• ⁠ Head, Nivesh Investment Club, LBSIM: Spearheaded a student-managed investment fund, ran stock-pitch competitions and portfolio simulations, and mentored peers. (2017 to 2019)
• ⁠ CSR at Arcesium: Led CSR drives across NGO partnerships and youth mentoring with 75+ volunteers (2019 to 2026)
• ⁠ Treasurer, Kolkata Durga Puja Committee: Ran a ~$500K budget and raised ~$100K via vendor negotiations. (2025)
• ⁠ Volunteered as a tech mentor for 180+ students from underserved schools, delivering hands-on computer skills training through a local community club. (2024)