Data Science
Analyse User Behaviour & Optimise the User Workflow Using a Machine Learning Algorithm
How does website's homepage drive sales? How can you use Telemetry data to improve the performance of a webpage and drive even greater sales? You will figure this out in this menternship.
Certified by
Role
Machine Learning Engineer
Industry
Education
No. of Subscribers
244
Level
Advanced
Time Commitment
60
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
BlueYonder has built an end-to-end digital supply chain platform for helping companies optimise their supply chain management to achieve maximum efficiency in fulfilling their commitments to customers. BlueYonder is committed to creating a seamless service experience for every client that uses their platform.
Explore
the following work techniques
Telemetry analysis
Machine learning
Bridging the gap
An efficiently working UI, especially on a website's homepage, can drive up production adoption and sales conversion. Telemetry analysis is a foundational tool used by data scientists to inform the development team about the efficiently web-page layout.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Expected output
During this menternship, you will be tasked with analyzing telemetry data of website usage to create optimal user flows for BlueYonder customers.
Create
the following deliverables
Optimized user workflow through ML models on Python
Web page for end-to-end SCM
What you’ll need before starting
Python, Basic web development, Machine Learning
