Semiconductors
Data and analytics professionals in Semiconductors
Semiconductor companies make critical choices about production yield, supply chain timing, and product quality based on data. You can explore which metrics actually drove real decisions, which data sources proved unreliable, and where analysts had to work around incomplete information.
Professionals to explore
01—10Anand Maralad
LinkedInExperience: Deputy Director - Business Intelligence · Applied Materials
Experience developing business intelligence dashboards and analytics for supply chain and repair business lines at a semiconductor equipment manufacturer.
Dennis Peskes
LinkedInExperience: Head of Data Intelligence & Supply Chain Analytics · Elmos Semiconductor Dortmund Operations GmbH
Experience leading data intelligence and supply chain analytics functions at a semiconductor manufacturing company.
FongLi Wee
LinkedInExperience: Senior Systems Engineer Database Developer · Micron Technology
Experience as a database developer and systems engineer at a semiconductor manufacturing company, later leading analytics and data science functions.
Jack Kong
LinkedInExperience: Senior Director Artificial Intelligence & Advanced Analytics · AMD
Experience leading artificial intelligence and advanced analytics strategy embedded into semiconductor manufacturing operations, including predictive process control and yield optimization.
Manav Jain
LinkedInExperience: Director, Data Science · Lam Research
Experience leading data science and analytics initiatives at a semiconductor equipment manufacturing company.
Nikhil Buddi
LinkedInExperience: Data Analytics and Technology Manager · onsemi
Experience designing and developing data analysis products for the semiconductor industry, including yield enhancement and test analysis work.
Rajesh Penagalapati
LinkedInExperience: Senior Director - Advanced Analytics · Applied Materials
Experience leading advanced analytics and BI platform work within a semiconductor manufacturing equipment company, spanning data management and analytics roles.
Sarah Ma
LinkedInExperience: Director of Engineering AI Manufacturing Intelligence & Advanced Yield Systems · NVIDIA
Experience leading engineering teams building AI-driven manufacturing intelligence and yield analytics systems for semiconductor manufacturing.
Suba Sankar
LinkedInExperience: Senior Principal Professional Director Data Architecture & Analytics · Marvell Technology
Experience directing data architecture and analytics initiatives, building AI-ready data platforms at a semiconductor company.
Thomas Altenmueller
LinkedInExperience: Vice President Manufacturing Analytics · Infineon Technologies
Experience leading manufacturing analytics and benchmarking semiconductor production performance across CMOS logic and power semiconductor manufacturing.
Choose the right perspective
Look for candidates who owned specific decisions—not just reported metrics. Ask them to describe a choice where data pointed one way but reality went another, or where they discovered their key metric was misleading. Their answers reveal whether they understand data's actual limits in your business.
Questions to take into the conversation
- 01Tell me about a time when the data you relied on didn't predict what actually happened in production or yield. What were you missing?
- 02Which metric did you stop trusting, and what made you realize it wasn't telling you the real story?
- 03When you recommended something based on data analysis, what assumptions turned out to be wrong?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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