Supply Chain Analytics Expert with 15+ Years of Experience

Transforming complex supply chains through data-driven insights, simulation modeling, and intelligent automation. Currently driving spare parts optimization at Applied Materials using ML and discrete-event simulation.

Key Achievements

$18M+
Cost Savings Delivered
20%
Cycle Time Reduction
15+
Years in Supply Chain
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I'm a Supply Chain Analytics Expert with a unique blend of mechanical engineering foundation and advanced analytics expertise. Currently at Applied Materials, I drive innovation in spare parts planning using statistical forecasting, discrete-event simulation, and machine learning.

My journey spans from transmission design at Maruti Suzuki to leading global logistics optimization initiatives. I specialize in translating complex operational challenges into data-driven solutions that deliver measurable impact.

Beyond traditional analytics, I'm passionate about agentic AI and its potential to revolutionize business process automation.

Skills & Expertise

Analytics & Visualization

Python SQL Tableau Hadoop Databricks

Supply Chain Tools

Supply Chain Guru AnyLogic Celonis ARIS

Optimization & Methods

Gurobi Linear Programming Mixed Integer Programming Discrete Event Simulation

AI & Automation

MS Copilot Studio Claude Code Process Automation Machine Learning
Mar 2024 — Present
Applied Materials

Spares Planning Analyst

Applied Global Services — After-sales service and spare parts lifecycle management

  • Lead business improvement projects using Machine Learning and Simulation
  • Conduct scenario planning using End-to-End Supply Chain Simulation Model
  • Develop warehouse capacity forecasts using S&OP forecast and growth trends
Oct 2017 — Mar 2024
Applied Materials

Logistics Network Optimization Analyst

Applied Global Services — Global logistics and network optimization

  • Achieved ~10% cost savings and 20% cycle time reduction through automated reverse logistics
  • Led tariff mitigation project saving $5M+ in duties (AGS Quarterly Team Award 2019)
  • Saved $2.4M through Cartonization Algorithm for warehouse outbound packaging
Jul 2008 — Jul 2015
Maruti Suzuki India Ltd

Transmission Design & Supply Chain Localization

R&D Division and Supply Chain Division

  • Delivered $10M in savings through localization price negotiations
  • Managed transmission parts development from design to mass production
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[Supply Chain Digital Twin]

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Simulation Python
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[AI Process Automation]

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Agentic AI BPMN
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[Inventory Optimization]

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ML Forecasting
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[Network Optimization]

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Gurobi OR

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Recommended Books

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Supply Chain

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Analytics

Useful Tools

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Simulation

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Optimization
Jul 2015 — May 2017

Master of Science in Industrial Engineering

Oklahoma State University, Stillwater, USA

Jul 2004 — May 2008

Bachelor of Technology in Mechanical Engineering

G B Pant University, Uttarakhand, India

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