

Indorama Ventures – Optimizing Data Science Deployment for Velocity of Value @ Scale
Sherri Goodwin, Data Science Engineer, Indorama Ventures
Outlining Indorama’s structured approach to maximizing data science impact with limited resources. Through a phased deployment of data scientists (Alpha and Beta Release Candidates) and initiatives like the SeeqAThon, we drive rapid value delivery, collaboration, and solution adoption. We highlight key strategies, including asset scaling, linear programming, Generative AI integration, and enhanced Seeq functionalities with Lean Six Sigma add-on tools. A case study will showcase how these methods translate into real-world efficiency and innovation.
Conneqt 2025 - Chemicals

Verdagy - Building a No User Learning Curve Internal Data...

Indorama Ventures - Optimizing Data Science Deployment for Velocity of...

Nutrien - Enhancing Ammonia Plant Reliability with Seeq

Kaneka - Enhancing Polymer Reactor Productivity Using Seeq Analytics

Eastman Chemical Company - Machine Learning Analytics: Green is Good