---
title: "Sakshi Gaikwad - Business Analyst in Bengaluru | Tal"
description: "Meet Sakshi Gaikwad, Business Analyst – Strategy & Planning | P&L Management |Operation Strategy | Forecasting & Budgeting based in Bengaluru. AI stack includes claude code, claude, and notion."
image: "https://tal.club/meet/sakshi-gaikwad/share-image"
---

# Sakshi Gaikwad on Tal

## Headline

Business Analyst – Strategy & Planning \| P&L Management \|Operation Strategy \| Forecasting & Budgeting

## About

I'm a Business Analyst with 5\+ years of experience owning P&L, designing Annual Operating Plans, and driving financial strategy in high\-scale logistics operations\. At Shadowfax, I manage multi\-vertical P&L across Dark Stores, MFCs, Warehouses, B2C/B2B Grocery, and Large Items\. I design AOPs from the ground up, set MoM targets, build cost\-to\-serve models, and lead monthly planning cycles with rolling forecasts\. My most impactful outcome to date: taking Contribution Margin from –9% to \+15% within two quarters through disciplined cost governance and unit economics analysis\. Before Shadowfax, I worked at Infosys BPM where I built Tableau dashboards, ran SQL/BigQuery\-based data validation at scale, and improved Customer Effort Score from 68% to 87\.8% through process redesign\. What I bring to the table: — End\-to\-end P&L and AOP ownership — Financial modelling, scenario analysis, and variance deep\-dives — Rate card design, vendor reconciliation, and rider economics — Executive and board\-level reporting with SQL · Python · Tableau · Power BI

## Location

Bengaluru

## AI stack

claude code

claude

notion

openai

Blackbox AI

ChatGPT

## Work experience

Business Analyst at Shadowfax, Mar 2026 \- Present · 8 mos

Senior Data Analyst \- Strategy & Planning at Shadowfax, Dec 2023 \- Mar 2026 · 2 yrs 4 mos, Bengaluru, Karnataka, India, \-Own multi\-vertical P&L across Dark Stores, MFCs, Warehouses, B2C/B2B Grocery, and Large Items — \~₹90 Cr annualised revenue and 9L\+ monthly orders; drove Contribution Margin from –9% to \+15% within two quarters through targeted cost and pricing interventions\. \-Architect Annual Operating Plans for all owned verticals; lead monthly planning cycles with rolling forecasts across last\-mile, mid\-mile, and fixed cost lines — ensuring margin commitments are met quarter on quarter\. \-Reduced last\-mile CPO by \~8–10% and in\-store CPO by \~10–12% across all verticals through weekly tracker governance and cost\-lever identification across delivery, manpower, and vendor spends\. \-Designed rate cards by business model \(Dark Stores, B2C/B2B Grocery, Large Items, MFCs\) anchored against cost\-to\-serve benchmarks; structured negotiation positions and margin floors for client and vendor contracts\. \-Built executive dashboards in SQL, Tableau, and Excel tracking Contribution Margin, Gross Margin, Rider CPO, and manpower cost; cut variance analysis turnaround time by \~40%; present findings directly to senior leadership\. \-Manage full rider payout cycle — \~₹1\.5 Cr in monthly LM payouts — covering incentive structuring, per\-order rate revisions, and joining/referral bonus design to maintain continuous rider supply\. \-Conduct end\-to\-end vendor reconciliation — \~₹2\.5 Cr aggregator vehicle billing \+ \~₹2 Cr hub manpower/rental/ancillary monthly — resolving disputes and ensuring SLA\-aligned payouts\. \-Built Python scripts to fully automate rider payout calculations across all verticals, eliminating manual errors and accelerating payout cycle time at scale

Data Quality Analyst at Infosys BPM, Mar 2021 \- Dec 2023 · 2 yrs 10 mos, \-Applied Python\-based statistical modelling to analyse customer behaviour patterns, improving forecast accuracy for client operations planning\. \-Designed Tableau and Google Sheets dashboards to track KPIs, surface revenue leakage, and deliver prioritised corrective recommendations to client stakeholders\. \-Used SQL and BigQuery on GCP to validate large\-scale financial and operational datasets across business\-critical pipelines, ensuring reporting accuracy\. \-Led root\-cause analysis on service delivery inefficiencies, implementing process fixes that improved Customer Effort Score from 68% to 87\.8% and reduced overhead costs\.

Data Analyst at Aegis Global, Apr 2019 \- Jul 2020 · 1 yr 4 mos, Bangalore Urban, Karnataka, India

Technical Support Analyst at NürnbergMesse India Pvt\. Ltd\., Oct 2018 \- Mar 2019 · 6 mos, Bangalore Urban, Karnataka, India

## Education

Bachelor of Technology \- BTech, Aerospace, Aeronautical and Astronautical Engineering, Hindustan Aviation Academy

[View the original profile](https://tal.club/meet/sakshi-gaikwad)

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