Aman Keskar

About Aman Keskar

I’m a Financial Analyst with 4+ years of experience across FP & A, corporate finance, and logistics finance, helping organizations improve forecasting accuracy, reduce operational costs, and build scalable reporting solutions using automation and analytics.Currently at Procter & Gamble, I support forecasting and performance management for a $55M logistics spend portfolio, where I reduced forecast error by 14% using driver-based models and identified $2.8M in controllable cost savings through route-level profitability analytics and Power BI dashboards. My work focuses on translating complex operational data into executive-ready insights that support supply chain and leadership decision-making.Previously at Tata Consultancy Services, I partnered with delivery managers and finance leaders to improve margin visibility across a $30M services portfolio by building SQL-driven reporting pipelines and automated forecasting workflows. I also supported workforce planning decisions through headcount cost modelling and variance analysis.Across my roles, I specialize in:Forecasting, budgeting, and variance analysisDriver-based financial modelling and scenario planningLogistics and supply chain finance analyticsExecutive dashboard development (Power BI, Tableau)Finance automation using Python, SQL, and VBAERP-driven reporting (SAP, Oracle, Anaplan, Hyperion)Month-end close support and cross-functional business partneringMy approach combines finance fundamentals with analytics automation to improve reporting speed, accuracy, and decision readiness across organizations. I’m particularly interested in roles within FP & A, strategic finance, and supply chain finance where I can continue driving data-informed planning and operational efficiency at scale. Let’s connect if you\'re working on finance transformation, planning automation, or performance analytics initiatives.

Experience

1. Financial Analyst

   Procter & Gamble

   Jun 2025 — Present

   Owned monthly rolling forecasts and annual operating plan (AOP) for $55M logistics spend using SAP and Anaplan, reducing forecast error by 14% through driver-based models calibrated against shipment volume and carrier rate fluctuations.• Diagnosed freight cost variances and route-level profitability gaps using SQL and Power BI dashboards, isolating $2.8M in controllable logistics cost savings and presenting corrective recommendations to supply chain leadership.• Constructed Python-automated variance analysis pipelines pulling SAP extracts and carrier invoices, eliminating 12 hours of manual reconciliation per month and improving BvA reporting accuracy by 22%.• Modelled demand-driven transportation cost scenarios through Excel what-if simulations, contributing to S & OP decisions that improved OTIF-adjusted cost per case from $4.12 to $3.74 on priority distribution lanes.• Streamlined month-end close deliverables for logistics accruals and intercompany settlements, partnering with accounting and treasury to reduce close cycle by 1.5 days while maintaining US GAAP compliance.• Delivered executive-ready Power BI dashboards tracking freight KPIs, warehouse cost trends, and carrier scorecards, giving VP-level stakeholders real-time visibility into $55M logistics P&L performance.• Mentored 1 junior analyst on SAP data extraction, Python-based report automation, and variance commentary best practices, enabling independent ownership of weekly logistics cost flash reports within 4 weeks.

Education

• Savitribai Phule Pune University

  Bachelor's degree, Computer Engineering

• Fergusson College

  HSC, Science

  2016 — 2018

• Syracuse University School of Information Studies

  Masters, Information Science/Studies

• DES New English School Pune

  SSC, Secondary Education

  2004 — 2016