Last month, I had the privilege of speaking at APIConf 2025 , hosted by APIDays . The conference theme revolved around APIs, a topic...

Recently, I have been contributing to a new Python framwork called Ivy by a YC23 start up called Unify AI. Ivy is an open-source machine...

The dashboard provides a comprehensive analysis of sales and inventory for a supermarket, with a focus on customer behavior and product...

The dashboard provides a comprehensive analysis of unemployment, focusing on gender and age groups: 1. People Unemployed by Gender: The...

The dashboard provides a detailed analysis of a company's email marketing campaign, examining various demographic aspects of the...

This dashboard presents Global Terrorism statistics from 1970 to 2017, examining success rates based on different factors: 1. Success...

The aim of this project is to find the best ML algorithm to help Blossom Bank detect fraud on its online payment platform. To achieve...

In this ML project, the aim was to use different machine learning algorithms to predict which customers will be the most likely to...

Also known as model decay, model drift is a problem in machine learning where the accuracy of a machine learning model declines due to...

Below are two dashboards which summarize my findings on a case that I worked on. The contents of these dashboards contain a breakdown of...