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Anureet KaurAK
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Anureet Kaur

@anureetkaur

I lead process transformation and AI-driven automation to cut costs, improve reliability, and scale tech-first workflows.

India
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What I'm looking for

I’m looking to own end-to-end process transformation and architect AI-enabled automation that delivers measurable KPI outcomes—cutting costs, improving reliability, and scaling tech-first workflows with strong stakeholder alignment.

I’m a program and transformation leader with 5+ years of experience driving end-to-end workflow re-engineering, AI-enabled automation initiatives, and large-scale cross-functional transformation programs. I build data-driven business cases and architect service blueprints using process mapping, automation strategy, and structured KPI frameworks to move from problem definition through implementation.

In my recent role as a Senior Manager, I reduced operational cost by 67%, improved reliability metrics by 60%, and redesigned next-generation tech-first operating logic—using structured root cause analysis, SOP redesign, governance automation, and executive measurement systems. I bring a practical, control-oriented approach (control plans, monitoring, dashboards) to sustain behavioral and operational improvements while aligning stakeholders to measurable outcomes.

Experience

Work history, roles, and key accomplishments

Urban Company logoUC
Current

Senior Manager

Urban Company

Aug 2025 - Present (8 months)

Re-engineered end-to-end service workflows to reduce customer SLA from 48 hours to under 1 hour, improving service reliability by 60% (No-Show 9% → 4%). Cut monthly cost base by 67% (₹11L → ₹3.6L) in two months and designed governance and KPI monitoring to sustain outcomes.

Meesho logoME

Associate Business Manager

Meesho

Nov 2022 - Aug 2025 (2 years 9 months)

Built centralized governance for pricing and claims workflows, reducing escalations by 50% and enabling automation-triggered approvals. Improved seller NPS by 6pp and delivered 52% activation across 18 cities while increasing orders by 5% and reducing exception escalations by 80%.

Inviz.AI logoIN

Data Scientist

Inviz.AI

Jul 2021 - Nov 2022 (1 year 4 months)

Improved enterprise search reliability by deploying automated QA frameworks and AI-enabled anomaly detection for workflow monitoring. Built scalable SQL pipelines and performance dashboards to reduce manual reporting overhead and accelerate experimentation governance decisions.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

Bachelor of Technology (B.Tech), Computer Science & Engineering

2017 - 2021

Grade: CGPA: 9.37/10

Earned a B.Tech in Computer Science & Engineering from Lovely Professional University (CGPA: 9.37/10).

Tech stack

Software and tools used professionally

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