DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning

DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning

15 Jan 202413:01pm - 15 Jan 202414:01pm

DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning

About the Event

Customer churn (cancellation) is the bane of all businesses with recurring revenue, and data can help understand the causes of churn and take action to reduce it. A recent development in the field is the use of reinforcement learning to replace composite systems built from supervised models combined with A/B tested intervention parameters.

This webinar will teach hands-on coding techniques from a churn fighting data pipeline including churn measurement, feature engineering from raw data, data set creation, and machine learning. The workshop is a hands-on demonstration using Python and SQL from the open source fightchurn package: pypi and github repo. The demonstration will include generating a simulated database of customers, product usage and churn and then use the data to perform a variety of churn analysis, feature engineering and machine learning techniques.

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  3. Best articles get published on Analytics Vidhya’s Blog Space
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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Carl Gold

Carl Gold

Director of Data Science at OfferFit.ai

Carl Gold is currently the Director of Data Science at OfferFit.ai, an AI-as-a-Service startup that has created a reinforcement learning engine to maximize customer upsell and retention. Before coming to OfferFit, Carl was Chief Data Scientist of Zuora, the Subscription Economy leading billing platform. Based on his experiences fighting churn for SaaS companies during his time at Zuora, Carl wrote the first book dedicated to customer churn analytics, data science and machine learning: "Fighting Churn With Data". Carl has a PhD from the California Institute of Technology and first author publications in leading Machine Learning and Neuroscience journals. After academia, Carl spent nearly a decade as a quantitative analyst (or, “quant”) on Wall Street.

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