Hi, I am Abdulquddus Ajibade (Ajisco)


Machine Learning Engineer | Data Scientist | Python Developer

About me

I'm a motivated Machine Learning/ Airtificial Intelligence Engineer , a Data Scientist and a Python Developer 🕵🏽‍♂️ with great interest in problem solving with Data Science, AI, Research and Innovation.
I have great interest in transforming healthcare, fintech and business sectors with cutting-edge AI solutions and I'm interested in collaborations and roles.



Portfolio

Check out my Portfolio

Please note: Some apps (Live Demo) might initially take a while to load.

  • All
  • Deployed (HOT)
  • Notebooks


Music Therapy for Depression

An AI solution that uses machine learning algorithms to diagnose depression and classify it to the severity class, then provide a solution with music therapy.

Live Demo | Repository | Demo Video





Advert Click Predictor

An AI solution that uses machine learning algorithms predict whether or not a user would click an ad or not.

Live Demo | Repository | Demo Video





Loan Repayment Predictor

A predictive machine learning classification models that can predict the credit risk with a historical loan dataset from LendingClub. The app tells whether or not a person is likely to repay a loan.

Live Demo | Repository





Django Chat Application

A chat application using django (a Python-based backend framework) that allows users to create accounts, authenticate and login, chat together and in groups and recover chats stored in database (postgressql).

Live Demo | Repository





Students Performance Predictor

A predictive machine learning app to predict whether or not a student will pass at the end of the term and how well a student would pass or fail.

Live Demo | Repository





Breast Tumor Classifier App

A predictive machine learning app that predicts whether a breast tumor is benign or malignant.

Live Demo | Repository





Spam Detector App

A predictive machine learning app to predict whether or not a student will pass at the end of the term and how well a student would pass or fail.

Live Demo | Repository





Sentiment Analysis

Classification of Yelp Reviews into 1 star or 5 star categories using pipeline methods.

Notebook





Energy Efficiency

Predicting energy efficiency of buildings using regression models.

Notebook





Clustering (Unsupervised Learning)

Using KMeans clustering algorithm to cluster universities into to two groups, private and public.

Notebook





Kyphosis Surgery

Using Random Forest algorithm to predict whether or not a patient would have a successful Kyphosis correction surgery.

Notebook





E commerce

Using machine learning to help the company decide whether to focus their efforts on their mobile application experience or their website.

Notebook

Contact

Get In Touch

Open to role, collaboration or coffee.

My Address

Alexander Brown Hall, University College Hospital, Ibadan, Nigeria.