Michael Enquist

Senior Manager Bi & Predictive Analytics @BGIS

CA

Led enterprise-wide AI/ML integration, advancing data-driven decision-making and establishing the company as an industry leader.• Built AI-powered vendor analytics and compliance models, increasing sourcing efficiency by 20% and reducing violations by 15%.• Developed fraud and anomaly detection algorithms for procurement, raising fraud detection accuracy by 25%.• Created predictive maintenance models, cutting downtime by 30% and saving $2M+ annually.• Spearheaded AI/ML optimization and linear programming initiatives, saving $2.75–$3M annually through better site visit planning and resource use.• Improved workforce efficiency, generating $9–$10M in savings via machine learning-driven technician optimization.• Enhanced call center operations through predictive modeling, reducing wait times and improving staffing strategies.• Designed cost optimization frameworks, achieving 10–15% annual savings in procurement and operations.• Built AI-driven disaster risk tools for real-time assessments and emergency planning.• Led data governance efforts, strengthening regulatory compliance and operational transparency.• Integrated AI into enterprise platforms (Snowflake, AWS, Dataiku) for real-time decision support in procurement and fraud detection.• Directed LLMOps using AWS Bedrock and Dataiku to streamline LLM deployment and scale enterprise AI solutions.• Built GenAI tools using RAG models and LangChain, cutting contract review times by 50%.• Mentored ML scientists and scaled AI teams, advancing predictive analytics and NLP/LLM initiatives.• Created NLP models for contract analysis, sentiment analysis, and document classification using BERT and transformer models.• Integrated AI solutions with business workflows to ensure alignment with evolving operational needs.• Partnered with business and IT to drive AI adoption, enabling seamless data pipeline and model integration