Anarghya Prasad Photo

Anarghya Prasad

Industrial Engineer• Supply Chain Analyst • Data & Automation • National Level Water Polo Player

Academics

M.S., Industrial Systems Engineering

San José State University (2020 – 2022)

  • Specialization in Supply Chain management with Data Analytics, Operations Research, and Lean Six Sigma.
  • Coursework: Systems Engineering, Operations Analysis, Quality Assurance & Reliability, Lean six sigma.

B.E., Industrial Engineering & Management

JSSATE, VTU, Bangalore (2014 – 2018)

  • Core focus: Supply Chain Management, Software management, Manufacturing Processes.
  • Emphasis on Total Quality Management,Statistical Quality Control and Probability distribution and Simulations modelling .

Skills

Data Analysis & Automation

  • Python, Excel/VBA, SQL,Power BI
  • Data visualization, predictive analytics, dashboarding

Supply Chain / ERP Tools

  • SAP S/4HANA (MM/PM) for Work Orders, CTB analysis, inventory optimization
  • Min/Max threshold planning and automation

Process Improvement

  • Certified Lean Six Sigma Green Belt
  • 8D,DMAIC,5S,RCA, FMEA, Continuous Improvement

Work Experience

Material Control Analyst – Quanta Computer Inc. (2022 – Present)

  • Led NPI demand & supply planning for Google’s datacenter hardware builds; ensured 100% on-time launches.
  • Automated SAP S/4HANA processes: work orders, rework loops, inventory transfers; cut lead times significantly.
  • Forecasted and optimized dynamic Min/Max thresholds to prevent downtime.
  • Developed Python-based CTB analysis automation, reducing manual effort by 70%.

Industrial Engineer – Target & Projects (2018 – 2022)

  • Optimized space planning and inventory control through Lean Six Sigma, reducing waste and defects.
  • Implemented process improvements to reduce cycle times and boost efficiency across departments.

Other Experience

  • Operations and project management in catering and hospitality, applying industrial engineering for efficiency.
  • Academic projects: supply chain strategy analysis, lean six sigma, operations analytics using Python, and systems engineering design.

Projects

Truck Movement Optimization

Designed a prototype model to optimize truck scheduling and dock utilization with mathematical formulations and Python simulations, reducing material delays.

Clear-to-Build (CTB) Automation

Built a Python pipeline to ingest ERP data, validate material readiness, and publish dashboards to Google Sheets, streamlining CTB reporting.

Min/Max Adaptive Thresholds

Developed an adaptive algorithm to calculate dynamic inventory thresholds for high fall-out components, minimizing production downtime.

Drone-based Inventory Management

Deployed drone-based warehouse scanning systems, created error taxonomy, and automated reports, enhancing accuracy in cycle counts.

Contact Me

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