Bridging traditional process control with cutting-edge AI to deliver measurable impact across energy, chemical, and manufacturing sectors
Delivering proven AI and advanced process control solutions with $5M+ in documented savings
Transform traditional APC through multi-objective optimization, predictive maintenance integration, anomaly detection, and adaptive control strategies with LLM-based explainability.
Develop digital twin models combining first-principles modeling with machine learning for real-time optimization, achieving typical savings of $1M+ annually in energy and production efficiency.
Implement ML models for failure prediction with up to 92% accuracy, providing advance warning to save hundreds of thousands in labor costs and prevent customer churn.
Optimize industrial operations including desalination, chemical processes, and energy systems through ensemble ML and constrained optimization, achieving 5-7% reduction in operational costs.
Develop real-time soft sensors providing 1-5 minute predictions versus 2-4 hour lab delays, enabling rapid quality control and reducing transition times by 20-40%.
Leverage GPT, Claude, and custom NLP solutions for regulatory compliance, document analysis, and AI-assisted development, accelerating response cycles and reducing manual effort.
Principal Data Scientist & Advanced Process Control Expert
With over 15 years of experience delivering industrial AI solutions, Andrew combines deep process control engineering expertise with cutting-edge AI technologies to drive measurable business impact across energy, chemical, and manufacturing sectors.
Previously serving as Principal Technical Expert at Schneider Electric's AI Hub and leading data science initiatives at Accenture's Applied Intelligence group, Andrew has architected complex optimization systems supporting opportunities ranging from $200K to $1M+. His work includes leading cross-functional teams leveraging GPT-3 for regulatory compliance solutions and developing ensemble ML frameworks achieving significant operational improvements.
Andrew's unique background spans traditional process control (Model Predictive Control, digital twins, first-principles modeling) and modern AI capabilities (LLMs, deep learning, reinforcement learning), allowing him to bridge these domains effectively. His proven track record includes delivering $5M+ in documented savings through predictive modeling, process optimization, and AI-enhanced control systems.
MS, Applied Mathematics
Northeastern University | 4.0 GPA
BS, Electrical Engineering Technology
Southern Polytechnic State University | 4.0 GPA
Certifications: ISA Certified Automation Professional, Certified Scrum Master, AI Agents (LangChain/LangGraph), Machine Learning in Production
Ready to transform your industrial operations with AI-driven process excellence?