Name: Qadeer A

Type: User

Bio: Analytics consultant with 15+ years hands-on experience of implementing analytics projects. Passionate about advanced data analytics and data science concepts.

Twitter: qadeeros

Location: Sydney

Hi 👋, I'm Qadeer Ahmed

A passionate analytics and data science professional

🔭 I’m currently working on in the process of unifying all my respositories under one GitHub profile, basics of data science concepts both supervised and unsupervised machine learning.
🌱 I’m currently learning on hands on exercises to learn and simplify advanced data analytics and data science concepts.
👯 I’m looking to collaborate on on marketing related repositories (MMM Marketing Mix Modeling, Digital Attribution and Channel Optimizations) and other related projects.
🤝 I’m looking for help with with frontend applications embedded to display the results for the end users.
👨‍💻 All of my projects are available at https://github.com/qadeeros
📝 I regularly write articles on https://qadeeros.blogspot.com/
💬 Ask me about related to media and marketing, Business Intelligence & Process Transformation and Effective Data Analytics & Insights Delivery
📫 How to reach me LinkedIn or email me!
📄 Know about my experiences https://www.linkedin.com/in/qadeeros/
⚡ Fun fact I am streaming content on my TV or mobile device when I am not coding.

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Qadeer A's Projects

customer-segmentation-using-k-means

This is a demonstration of k-means algorithm on customer data of a mall (also known as customer segmentation).

data-science

This repository will hold all my hands on projects with detailed documentation and solutions

lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.