► Pioneered AI-powered SaaS technology for enterprise performance management. Assembled a team of experts to build and scale the solution.► Leading development of a generative AI enterprise application, managing all aspects from system architecture, model selection and data pipeline design to MLOps and infrastructure.

► Developed and deployed ML models to predict and estimate landed cost of order-related incidents, driving a significant reduction in the company’s incidence exposure.► Spearheaded the design and deployment of a nuanced operations analysis toolkit for emerging product categories, leveraging machine learning to surface category-specific challenges.► Directed the design and implementation of an advanced analytics dashboard that integrated cross-functional data to monitor and improve the performance of multi-carton products (40% of business)

► Led the deployment of ML algorithms to automate spend classification and extract market intelligence, significantly enhancing the accuracy and efficiency of the company’s data-driven insights. ► Built a comprehensive data warehouse and ETL processes, enabling the consolidation of multiple large datasets across the company to train classification and predictive models► Engineered a suite of data-driven cost modeling products, addressing key business challenges in supply chain optimization and identifying $30M+ in cost-saving opportunities for clients.

► Analyzed energy and water consumption data across production facilities to identify inefficiencies, recommending data-driven solutions that reduced operational costs by $450K annually.

Led a consulting team to streamline operational processes for a major energy contractor, saving $140K+ in under 3 months.