• Engaged in a supply chain finance automation project which includes email classification, text entity extraction, text classification and clustering
• Used various Machine Learning techniques to identify potential automation use cases
• The environment was OpenShift container platform with MLOps, DevOps with CI/CD, micro services, RPA (automation anywhere) and Github code base

• Actively participated in a yield management project (truck rental - AVIS) which involved hierarchical time series demand/supply forecasting, price optimization and segment optimization machine learning models
• Production environment was R Language, AWS, Athena Database, DevOps and API based live prediction system

• Worked in an IT Operation analytics project (GE Digital) using service now data and survey data to optimize ticketing system and end user experience. Used various ML techniques like time series analysis, regression models, topic modeling, text classification etc. to achieve the same

• Worked with various Social Media Analytics engagements (Dell, Ascension Health)

Successfully implemented a project which predicted HCAHPS score from social media mentions to help the hospital chain system to proactively improve their actual score