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Sakshi Gaikwad

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

Bengaluru

7+ years of work experience

Shadowfax
Mar 20268 mosPresent

Shadowfax
Dec 20232 yrs 4 mosMar 2026

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
Infosys BPM
Mar 20212 yrs 10 mosDec 2023

-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.
Aegis Global
Apr 20191 yr 4 mosJul 2020

Bangalore Urban, Karnataka, India

NürnbergMesse India Pvt. Ltd.
Oct 20186 mosMar 2019

Bangalore Urban, Karnataka, India

Sakshi’s AI Stack

claude code
claude code
claude
claude
notion
notion
openai
openai
Blackbox AI
Blackbox AI
ChatGPT
ChatGPT

Education

Bachelor of Technology - BTech, Aerospace, Aeronautical and Astronautical Engineering

Hindustan Aviation Academy

20144 yrs2018

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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