Input Data Analysis

Approx. 25 June 2018 - Approx. July 1, 2018

The phase consists of getting access to possible data source(s), pulling data on regular basis, analysis of dataset content and format.

Feature Engineering

Approx. Jul 2, 2018 - Approx. July 29, 2018

Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work.

Infrastructure Setup

Approx. Jul 30, 2018 - Approx. August 19, 2018

Platform architecture and technology stack selection based on selected model and available data sets. Setup AWS instances and enabling essential processing/storage services.

API Gateway

Approx. Jul 30, 2018 - Approx. August 26, 2018

Integration with Cleeng server through authentication and API calls, development and exposing API to retrieve prediction result from churn prediction platform, developing API documentation.

Data analysis completion

Approx. 8 August 2018

Having analyzed the data in a proper way we would be able to say what we can predict, suggest how to visualize it in a best way.

Model Assessment

Approx. Aug 8, 2018 - Approx. August 21, 2018

Calculating essential model parameters and verifying model reliability (supervised machine learning).

Front-end Development

Approx. Aug 8, 2018 - Approx. August 21, 2018

Front-end web development using AngularJS 1.x to present prediction results.

Building Model

Approx. Aug 22, 2018 - Approx. August 28, 2018

Model selection upon available facts after feature engineering.

Data Processing

Approx. Aug 27, 2018 - Approx. September 9, 2018

Creation of services to handle main set of methods like: create, post, put, delete.


Approx. Sep 10, 2018 - Approx. October 7, 2018

The phase includes: testing of prediction model, development part (back-end and front-end functionality).