Implemented an API with different endpoints for creating new posts, and displaying users posts. Added user login functionality and user authentication using Json Web Tokens (JWT).

Added the functionality for allowing users to create, view, update, and delete blog posts. Designed different website pages making use of template inheritance.

Created customer segments for a UK-based non-store online retails using Recency, Frequency, and Monetary segments.

Constructed a model that accurately predicts whether an individual makes more than $50,000. Individuals making more than $50k are more likely to donate to Charity.

Happiness is what we seek. It makes sense to understand what are the factors that affect the state of happiness all over the world. In this project, I try answering this question by working on the data provided by “The World Happiness Report”.

Built a model that accurately predicts whether an individual has Pneumonia by looking at his Chest X-ray images.

Exploratory Data Analysis for features that influence house prices.

Designed and implemented an API that can handle different HTTP requests and connects with the project’s database hosted in a docker container.

Built an API that can classify sentences into 22 different languages with accuracy of 98.5%.

Built a high accuracy model that can predict customer churn based on the customer’s information.

Created a model that predicts auction sale prices for Bulldozers. My model’s score lands in the top 1% of the competition’s Leaderboard.

Applied unsupervised learning techniques to identify segments of the population that form the core customer base for AZDIAS company in Germany.