MAHATHI SRINIVASAN

Master's

Computer Science

E&J GALLO WINERY

Decision Science and Innovation Intern

• Designed and improved an algorithm for a commute time estimator which guided in better decision-making in proactive scheduling for production and resource management. Reduced execution time by 25% and improved visibility of resource-tracking by 80%. • Performed an Outlier Analysis on the estimates by using an advanced implementation of the LOF (Local Outlier Factor) algorithm. • Used advanced ML Algorithms to perform RCFA (Root Cause Failure Analysis) in order to identify issues related to ineffective pit utilization during harvest operations. Achieved an accuracy of 88% to identify the best set of root causes for the same. • Built a regression model, performed Time-series Analysis and conducted Hypothesis testing of wine & spirits data to understand the influence of competitors and determine the best strategies that would lead to better sales and promotion of spirits. • Aided in Data Management and Integrity for continuous improvement effort.