Volodymyr Holomb – Medium

Volodymyr Holomb

How Do We Know When to Reach Out to Your Customers?

A time-sensitive approach to predict customer churn

Aug 3

How Do We Know When to Reach Out to Your Customers?

Aug 3

Published in
Towards Data Science

Precision Clustering Made Simple: kscorer’s Guide to Auto-Selecting Optimal K-means Clusters

kscorer streamlines the process of clustering and provides practical approach to data analysis through advanced scoring and parallelization

Nov 10, 2023

Precision Clustering Made Simple: kscorer’s Guide to Auto-Selecting Optimal K-means Clusters

Nov 10, 2023

Visualizing Data Made Easy with ProSphera

ProSphera simplifies data visualization, allowing you to explore complex data in a 3D space, making insights easily accessible

Sep 23, 2023

Visualizing Data Made Easy with ProSphera

Sep 23, 2023

Published in
Towards Data Science

An ImPULSE to Action: A Practical Solution for Positive Unlabelled Classification

We introduce an approach called ImPULSE Classifier with improved performance on balanced and imbalanced PU data compared to other…

Apr 6, 2023

An ImPULSE to Action: A Practical Solution for Positive Unlabelled Classification

Apr 6, 2023

Published in
Towards Data Science

A Practical Approach to Evaluating Positive-Unlabeled (PU) Classifiers in Business Analytics

An approach for evaluating PU models with common classification metrics adjusted for the prior probability of the positive class

Mar 31, 2023

A Practical Approach to Evaluating Positive-Unlabeled (PU) Classifiers in Business Analytics

Mar 31, 2023

Holidays auto-modelling for efficient time-series forecasting

At RBC Group we model holidays while forecasting time series as a rule of thumb.

Jun 20, 2022

Holidays auto-modelling for efficient time-series forecasting

Jun 20, 2022

How do we know that your customers are leaving?

At RBC Group we defined a solution to label churn customers based purely on the frequency and the sum of their orders. Here is how it…

May 19, 2022

How do we know that your customers are leaving?

May 19, 2022

Published in
Geek Culture

Time series batch processing for outlier detection

Our Department of Advanced Analytics in RBC Group often deals with time series forecasting. Those mainly are daily retail sales with a…

May 16, 2022

Time series batch processing for outlier detection

May 16, 2022

Published in
Towards Data Science

Building memory-efficient meta-hybrid recommender engine: back to front (part 2)

After reading this article you will seamlessly improve the SVD prediction algorithm known as the Netflix prize winner

May 12, 2022

Building memory-efficient meta-hybrid recommender engine: back to front (part 2)

May 12, 2022

Published in
Towards Data Science

Building memory-efficient meta-hybrid recommender engine: back to front (part 1)

How to build from scratch a recommender and boost its accuracy while keeping it simple

Jul 23, 2021

Building memory-efficient meta-hybrid recommender engine: back to front (part 1)

Jul 23, 2021

Volodymyr Holomb

Volodymyr Holomb

As an ML Engineer at RBC Group, I transform raw data with passion and creativity to unlock valuable insights and empower businesses to make informed decisions

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