Gowtham Raj is a Senior Manager in Data Science based in Singapore with 10 years’ experience delivering analytics and AI solutions across supply chain and operations. He has led multidisciplinary teams at DHL to build generative AI tools that let business users “talk-to-data,” improve shipment visibility and lift OTIF SLAs by 23%, and deliver supply-chain analytics products that unlocked multimillion-dollar savings. Earlier roles at Rio Tinto and L&T evidence a strong mix of optimization, process improvement and hands-on modeling—he built algorithms that saved ~$1M/year in bunkering and led projects realizing tens of millions in potential savings. He combines technical rigor (Black Belt in Six Sigma, strong statistical grounding) with strategic planning (APAC roadmaps and TMS modernization) and is completing leadership development at INSEAD. Notably, his background spans both quality engineering and analytics, giving him a rare emphasis on production-grade reliability as well as insight-driven decision making.
10 years of coding experience
8 years of employment as a software developer
Black Belt in Six Sigma, Statistics, Black Belt in Six Sigma, Statistics at Indian Statistical Institute(SQC & OR)
Masters in Supply Chain Management, Logistics, Materials, and Supply Chain Management, 4.05/5.0, Masters in Supply Chain Management, Logistics, Materials, and Supply Chain Management, 4.05/5.0 at National University of Singapore
Javascript tests to run audits using chrome-lighthouse tool
Contributions:8 commits, 5 PRs, 7 pushes in 1 year 6 months
auditjavascriptauditschrome-lighthousechrome
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