During my time at Abbott, I spearheaded multiple projects with a primary focus on optimizing manufacturing processes. The ultimate objective was to enhance throughput through the strategic application of Data Science. Collaborating closely with my team and a dedicated group of Subject Matter Experts (SMEs), we gathered data from various manufacturing sites worldwide. This data served as the foundation for constructing comprehensive End-to-End process data science models.
The derived insights into production parameters were shared with manufacturing sites, and a meticulous analysis of implementation options guided us towards achieving the desired outcomes
Several algorithms have been tested and in different instances different models have been proved to be the winners. Important in Manufracturing is to have models that could be interpreted. Linear regression has been the winner in many instances after de-coupling the complex parts but XGBoost with Shap values has been many times the solution

One of the main objectives of the Advanced Analytics Department was to build a forecasting hub. Creating and engine that several consumers could benefit from using this technology. One of the main objectives of the Advanced Analytics Department was to build a forecasting hub. Creating and engine that several consumers could benefit from using this technology. One of the main objectives of the Advanced Analytics Department was to build a forecasting hub. Creating and engine that several consumers could benefit from using this technology.