Ibeth Vergara is a Logistics Network Optimization Engineer with 10 years of experience applying industrial engineering, operations research and data science to global supply chain analytics, network design and inventory optimization. Currently at SLB, she combines hands-on modeling in tools like LLamasoft鈥檚 Supply Chain Guru with statistical analysis in R and Python to drive strategic, data-backed decisions. Her background spans consulting and in-house roles where she led large network and transportation scenario analyses, built robust data models, and translated KPIs into actionable data strategies. A master's-level modeler and former full-time instructor, she brings both technical depth and the ability to communicate complex findings to stakeholders. Based in Colombia, she stands out for blending academic rigor with practical tooling expertise to solve end-to-end logistics challenges.
10 years of coding experience
5 years of employment as a software developer
Master of Engineering (M.Eng.), Operations Research, Data science, Master of Engineering (M.Eng.), Operations Research, Data science at Universidad Nacional de Colombia
Contributions:4 PRs, 5 pushes, 3 branches in 2 days
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