
Madhurya Madhav Parashar
@madhuryamadhavparash
I improve manufacturing throughput, cost, and reliability through Lean engineering, simulation, and data-driven analysis.
What I'm looking for
I improved throughput by 10% at Simulation Lab by diagnosing OEE bottlenecks through time studies, then redesigned assembly-line flow with Arena discrete-event simulation to cut cycle time by 15%.
At Indian Oil Corporation Limited, I increased process efficiency by 25% through takt-time analysis, workstation rebalancing, and Lean waste reduction. I also improved operator fatigue by 10% with ergonomic workstation layouts and headcount optimization frameworks.
I'm completing an M.S. in Industrial Engineering at Arizona State University and bring Six Sigma Green Belt certification alongside Python, SQL, Tableau, Power BI, SAP ERP, AutoCAD, and reliability engineering experience.
Experience
Work history, roles, and key accomplishments
Industrial Engineer
Simulation Lab
May 2023 - Dec 2023 (7 months)
Elevated facility throughput by 10% by diagnosing OEE bottlenecks through systematic time studies and implementing corrective actions. Redesigned assembly line configurations using Arena simulation, cutting production cycle time by 15%.
Industrial Engineer
Indian Oil Corporation Limited
Jan 2022 - Mar 2023 (1 year 2 months)
Boosted process efficiency by 25% across key production cells by conducting time-and-motion studies and rebalancing line operations using Lean principles. Eliminated critical throughput bottlenecks by building OEE-integrated value stream maps and AutoCAD plant layout visualizations.
Manufacturing Engineering Intern
Indian Oil Corporation Limited
Jan 2021 - May 2021 (4 months)
Delivered a 20% throughput improvement by conducting capacity and workflow studies and deploying Lean tools including 5S, VSM, and Kaizen. Cut rework rates by developing real-time KPI and OEE dashboards in Excel and SAP ERP.
Education
Degrees, certifications, and relevant coursework
Arizona State University
Master of Science, Industrial Engineering
Grade: 3.38
Pursuing a Master of Science in Industrial Engineering with a GPA of 3.38, expected to graduate in May 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
github.com/madhurya0203Portfolio
github.com/madhurya0203Salary expectations
Social media
Job categories
Skills
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