Contra - A professional network for the jobs and skills of the future

Contra - A professional network for the jobs and skills of the futureTelecom Customer Churn Prediction using Machine Learning Exploratory data analysis and sample pre...

The network for creativity

Join 1.25M professional creatives like you

Connect with clients, get discovered, and run your business 100% commission-free

Creatives on Contra have earned over $150M and we are just getting started

Back to feedPost

Rushikesh Chavan

• Jan 16

Telecom Customer Churn Prediction using Machine Learning

Exploratory data analysis and sample prediction output from a machine learning model designed to identify high-risk telecom customers.

Chukwuka Friday-Iweka

• Feb 26

I designed a freelance marketplace product concept that connects gig seekers with gig posters through a streamlined, trust-driven platform.

Built in Figma with interactive prototyping, the project focuses on scalable user flows, structured job posting, smart matching logic, and a frictionless application process. The concept was developed with real-world product strategy in mind, balancing usability, clarity, and marketplace dynamics.

Full case study: https://chukwukafriday-iweka.framer.website/paydayly

UX Design Prototyping UI Design Figma

Rasel Alam Jubayed

• 2d

Good job

Muhammad Usman

pro

• Feb 26

Data Science is the practice of extracting insights and knowledge from data using statistical methods, algorithms, and computational tools. It helps organisations make informed decisions, predict trends, and solve complex problems.

Modern data science powers recommendation systems, fraud detection, healthcare analytics, and AI applications like chatbots and autonomous systems.

It works through techniques such as data cleaning, machine learning, data visualisation, and predictive modelling, ensuring that raw data is transformed into meaningful, actionable insights.

In simple terms, data science is the backbone of smart decision-making in today’s data-driven world.

#DataScience #MachineLearning #AI #BigData #Analytics #Technology #Innovation