Alicia Gilbert
Ph.D. in Computational Engineering | Lead Data Scientist in Manufacturing Process Simulation and Optimization | Six Sigma Black Belt | Continuous Improvement Practitioner
- Role
- Lead Data Scientist at Mcneely Plastics
- Location
- Canton, MS, US
- LinkedIn followers
- 500 followers
About Alicia Gilbert
As the Lead Data Scientist at McNeely Plastics, a Sigma Plastics Group company, I leverage advanced analytics and cutting-edge technologies to drive innovation and operational excellence. I hold a Ph.D. in Computational Engineering from Mississippi State University and have earned a Six Sigma Black Belt certificate from MSU\'s Center for Continuing Education, solidifying my expertise in data-driven problem-solving and process optimization.With a strong foundation in Generative AI (GenAI), machine learning, and deep learning, I specialize in developing solutions that bridge the gap between complex datasets and actionable insights. My professional toolbox includes expertise in predictive maintenance, systems simulation, and optimization, with proficiency in programming languages and tools such as SAS, Python, R, PHP, and JavaScript.I am passionate about tackling challenges and thrive in environments that demand innovative thinking, technical precision, and collaborative problem-solving. Whether it’s building applications, optimizing processes, or unlocking value through advanced analytics, I am driven by a commitment to creating impactful solutions that empower businesses to succeed in today’s data-driven world.
Experience
Lead Data Scientist
Aug 2021 — Present · Clinton, MS, US
Manage end-to-end data science projects, including planning, development, and deployment of analytics solutions that leverage multi-source data such as procurement, sales, and supply chain.• Build and implement machine learning models to optimize internal processes, providing actionable insights that inform strategic decisions.• Design and deploy specialized AI tools: an agentic AI solution for predictive maintenance, domain-specific retrieval chatbots, and computer vision systems to improve plant safety.• Identify and address data challenges, lead the adoption of data-driven methodologies, and monitor key company performance metrics for continuous process improvement.
Education
Mississippi State University
Doctor of Philosophy - PhD, Computational Engineering
Jackson State University
Bachelor of Science - BS, Mathematics
Texas A&M University
Master's degree, Mathematics
1998 — 2000
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