Hi, I'm Vignesh.
MBA · MS in Business Analytics
I trained as a mechanical engineer and spent more than five years in maintenance and reliability at Dow, where I led a program that moved 15 manufacturing sites onto a new maintenance system.
I recently completed an MBA and an MS in Business Analytics at George Washington University. I brought my experience of leading implementation into the classroom, where my focus expanded to the business decisions behind it: which opportunities to pursue, what the analysis supports and where technology can help. My work in business strategy and applied AI builds on that combination of analytical judgment and practical experience.
3 of 7 projects
Selected work
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Dow
Moving 15 Dow sites onto a new maintenance system
I led the migration of 15 sites and 30,000 assets to a new maintenance system (GE APM).
Workflow improvement · Program delivery
Industrial operations · Completed migration
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Energy market entry
Choosing an energy market-entry route
I compared new and existing infrastructure, testing pricing, capacity use and investment timing to support a market-entry recommendation.
Business strategy · Market-entry analysis
MBA team engagement · Recommendations
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Weather-Ready
AI planning for restaurant managers
I built a prototype that estimates dinner guests from weather and local context, explains the forecast and records managers’ feedback.
Product discovery · Applied AI
MSBA practicum · Working prototype
My background
Experience and education
2024–2026
George Washington University
MBA · MS in Business Analytics
I completed both degrees in May 2026 and served as president of the Graduate Consulting Club, where I developed introductory consulting materials and helped organize case practice, networking and community events.
2018–2024
Dow
Maintenance and reliability programs
I was on the Remote Maintenance and Reliability team in Dow’s global engineering center, covering manufacturing sites in the US and Europe. Our work involved implementing predictive maintenance strategies, which use corrosion rates to estimate each plant asset’s remaining life and set how often it is inspected based on its risk of failure. I started by building the equipment data needed to calculate that risk, from plant drawings and operating records. After supporting about 10 site rollouts, I led two implementations end to end. In my final role, I was the program lead for moving this data to a new maintenance system across 15 sites and 30,000 assets. I reworked the rollout from five phases to two, and we finished a year ahead of schedule.
2014–2018
Undergraduate study
Mechanical engineering and student leadership
I captained a 25-member team entering BAJA, a student off-road vehicle competition. I coordinated five teams responsible for different vehicle systems, alongside fundraising and fabrication. We built our first vehicle, but a failed brake test ended our participation.
Contact
I’m interested in roles in consulting, business transformation and applied AI.