Oct 2020 – Dec 2022 · 2 yrs 2 mos · Bangalore Urban, Karnataka, India

Apr 2020 – Oct 2020 · 6 mos

• Working on models for predicting the Customer Life-Time Value(CLTV) for customers in retail.
• Improved a model which predicted the response rate of a customer to certain campaigns using XGBoost and feature
• engineering.
• Used knowledge graphs and content-based recommendation using pre-trained glove and Universal Sentence encoder to
• improve the recommendations in movies domain.
• Working on creating an end to end ML pipeline for production deployment using Airow

Aug 2018 – Apr 2020 · 1 yr 8 mos

• Working on personalised product recommendations for consumers in retail and e-commerce industry.
• Worked on campaign personalisation, message/offer personalisation, customer segmentation, back testing framework, recommender systems and natural language processing.
• Building end-to-end ML pipelines for problems in retail/e-commerce.

Jul 2017 – Aug 2018 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Worked at technovation centre (bangalore) for futuristic banking related product 'miliu'
• Worked on Java Springboot for handling server requests and creating RESTful APIs .
• Worked on Avaamo chat bot and Amazon Alexa for integration in the app.
• Using Jenkins and putty for server deployment.
• Agile/Scrum methodology used in the project