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  • 10 May 2022
Machine Learning

Building a Personalised Attrition Recommendation System

Agenda

This webinar will cover an end-to-end study of attrition – the dwindling number of the workforce – in a company. The end goal of an attrition recommendation system is to develop retention strategies to prevent employee churn. In this session, we will discuss the process starting from data collection & preprocessing to model development and deployment. It will be presented by an award-winning HR consultant with over 17+ years of consulting in HR transformation and system implementation projects across the globe.

Sambit Das

Senior Data Scientist

Sambit is an award-winning HR consultant with over 17+ years of consulting in HR transformation and system implementation projects across the globe. He offers HR consulting services to The Salvation Army that involves data migration of more than 10,000 employees and approx. 25,000 volunteers into a single HR system. He holds a Master’s degree in Data Science from the prestigious Northwestern University with specializations in Artificial Intelligence and Deep Learning. He has published several articles on HR Analytics on the prestigious Medium.com website, which taps into the brains of the world’s most insightful writers, thinkers, and storytellers to bring you the smartest takes on topics that matter.

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