Find a statistical difference between two user groups for a marketing campaign — “But you no longer heard the song. You had gone away, my boy, into your tale. Did you know that you would never turn into a fish, that you would never reach Issyk-Kul, or see the white ship, or say to it: “Hello, white ship, it’s I”? You swam away.” ― Chingiz…

Become more productive in visualizing data in Python — “Beauty will save the world.” - F. Dostoevsky Introduction Have you ever gotten frustrated after looking at your visualization in Python? Have you ever thought that it can be done better with less effort and time? …

Recency, Frequency, and Monetary metrics to forecast customer behaviour with linear regression — “No person can open another person, all we can do is wait. And then work with the openness when it occurs.” ― Peter Høeg, The Quiet Girl Introduction In this blog post, I would like to focus on feature engineering to predict customer transactions for the next month. As a data…

Apply multilayer perceptron model to retain your customers — “To be, or not to be, that is the question…” - William Shakespeare, Hamlet Introduction In real-world situations, data scientists often start an analysis with a simple and easy-to-implement model such as linear or logistic regression. There are various advantages of this approach such…

Create and analyze customer segments with k-means clustering — “It may be necessary to stand on the outside of one is to see things clearly.” ― Peter Høeg, Tales of the Night Introduction I believe that the best way to learn about marketing data science is to work through examples. In this blog post, I would like to talk about …

All Customers are Not Equal — “It is the time you have wasted for your rose that makes your rose so important.” ― Antoine de Saint-Exupéry, The Little Prince Introduction As a data scientist working in marketing, I find it quite challenging to combine a few fields like marketing, machine learning and statistics, and produce insights, which…

Utilize patterns of reasoning, which are common across data science — Introduction In this part of the blog post, I would like to share with you how we can draw inspiration from patterns that have been noticed and explored by others to make logical reasoning. I believe that it is useful to gain a good mental library of various examples of reasoning…

Learn about reasoning and components of an argument — “What has been affirmed without proof can also be denied without proof.” ― Euclid Background I believe that every data scientist is aware of the necessity to have “soft-skills” and critical thinking, which have the same importance as an ability to write clean code and apply machine learning algorithms. That is…

CoNVO framework to structure and systematize our thoughts “The only true wisdom is in knowing that you know nothing.“ — Socrates Background Have you ever thought about how to pose the right questions while working on a data science project? I got this question after joining my current company, where I…