K-Means in Practice

K-means is widely used in real-life business problems. In this episode, Mujtaba Anwer, a researcher and Data Scientist walks us through some use cases of k-means. He also spoke extensively on how to prepare your data for clustering, find the best number of clusters to use, and turn the ‘abstract’ result into real business value.

Guest

Mujtaba Anwer: Based out of Finland, Mujtaba is the co-founder of "Teal Technology Group", a technology solutions consultancy, providing solutions related to fintech, martech, marketing measurement and business intelligence. Mujtaba is also an advisor to the board of a government authority in the GCC, which was recently formed to support digital businesses. Mujtaba has previously worked as a Senior Consultant under the Analytics & Cognitive Consulting service line at Deloitte, where he worked on architecture, machine learning and business intelligence projects for large corporates, with a focus on developing scaleable architecture, impact/causal analysis, and predicting the future course of events.