End Date: 31-01-2019 08:30 AM IST
Start Date: 01-02-2019 10:09 AM IST
Start Date: 01-03-2019 10:10 AM IST
A training course to implement analytical techniques in a real business environment cutting through the academic theory where possible to get straight to outcomes. Each case study is based on the real-world experience of the trainer and Jube. The course will present a variety of use cases:
• Numeric Price Prediction, in housing data.
• Fraud Prevention in financial transactions.
• Credit Risk Prediction in Lending.
• Handwriting Character recognition.
• Image Recognition.
• Advertising Technology Bid Optimisation.
• Simulation of Fraud Prevention Models for Optimisation.
Richard Churchman works at Jube. io where he is responsible for developing a proprietary predictive and prescriptive analytics platform that is used in a variety of industries.
Richard has over 19 years’ experience working with predictive and prescriptive analytics across a variety of industries and can provide meaningful insight into the application of all techniques taught on the course in other problem industrial domains (e.g. Marketing Churn Models).Richard experience spans employers such as Capital One, TSYS, FIS Global and MasterCard, where his experience in fraud prevention systems evolved, oftentimes underpinned by Predictive Analytics.
After a corporate career, Richard founded a company developing fraud prevention systems, which was subsequently acquired by a US public company. Richards latest company is Jube, which focuses on Predictive and Prescriptive Analytics. Richard has trained over 400 people, in some of the world's largest corporations, in the use of Predictive and Prescriptive Analytics, in addition to the implementation of Jube technology.