• Developed robust Exploratory Data Analysis machine learning pipeline for hyper-parameter optimization, feature selection, imputation, model selection & evaluation and other related transformations in recommender systems for major US banking client, improves evaluation metrics by 5%• Performed Feature Engineering for Semantic Annotated datasets and implemented Bootstrap Aggregating in Conversational AI of Genpact Neural Intelligence Platform, increase F1 score to 83 from 79.• Improved Query Understanding and accuracy of Genpact PeopleFirst Helpdesk with Online Machine Learning based predictive models for Named Entity Recognition and Intent Classification, improved product performance and enables incremental learning.• Cluster Analysis and segmentation of chat transcripts that helps to power retrieval based systems and intelligent assistance for leading consumer internet companies.

• Worked on predictive analytics problems by surfacing right data, investigating abnormal trends and providing actionable recommendations to quantify the impact. • Developed a price prediction model based on historic prices and macro-economic factors for a manufacturing firm to help them with procurement planning.• Developed a text analytics model using call center rep's comments to predict which service issues can be resolved over phone, thus reducing agent visits, for a leading telecom provider in US• Able to construct an analysis around a specific business question, write up a clear, useable project plan, and execute with minimal guidance and demonstrate compliance with internal procedures, processes and values.• Collaborate with cross-functional groups such as Engineering, Sales and Legal to increase automation, update policies, fix loopholes and provide a better experience for consumers