The Process
Research & Discovery: Reviewed existing manual and legacy methods, uncovering bottlenecks that led to frequent crashes, long delays, and inaccuracies as data complexity increased.
Concept Development: Explored multiple optimization strategies with an emphasis on scalability, accuracy, and efficiency to ensure reliability under heavy data loads.
Framework Design: Built a MILP-based optimization engine, integrating Excel-driven workflows with advanced mathematical modeling to deliver instant and 100% accurate outputs.
Deployment & Testing: Validated the framework across large-scale scenarios, demonstrating the ability to handle growing X and Y volumes without performance issues.
The Outcome
The new system scaled seamlessly as complexity increased, transforming outputs that once took hours—or failed entirely—into instant, reliable results.
The Process
Research & Discovery: Reviewed existing manual and legacy methods, uncovering bottlenecks that led to frequent crashes, long delays, and inaccuracies as data complexity increased.
Concept Development: Explored multiple optimization strategies with an emphasis on scalability, accuracy, and efficiency to ensure reliability under heavy data loads.
Framework Design: Built a MILP-based optimization engine, integrating Excel-driven workflows with advanced mathematical modeling to deliver instant and 100% accurate outputs.
Deployment & Testing: Validated the framework across large-scale scenarios, demonstrating the ability to handle growing X and Y volumes without performance issues.
The Outcome
The new system scaled seamlessly as complexity increased, transforming outputs that once took hours—or failed entirely—into instant, reliable results.