Olawale Abimbola


Data Scientist | Researcher
Creative Advanced Technologies
Dubai, United Arab Emirate

Email: abimbolaolawale41@gmail.com

Building a Production Ready Recommendation System
Type: Meetups
Event: Tensorflow Meetup Ibadan
Date: June 21st, 2023
Venue: Virtual

I gave an hands-on session that provides a step-by-step guide to building a recommendation system. The class covers the entire process, from data preparation to model deployment, using a real-world use case. I talk more on containarization, creating cron-jobs and load testing

Building a Production Ready Recommendation System
Type: Conference workshop talk
Event: Deep Learning IndabaX Nigeria 2023
Date: June 10th, 2023
Venue: Thomas Adewunmi University, Kwara State

I gave an hands-on session that provides a step-by-step guide to building a recommendation system. The class covers the entire process, from data preparation to model deployment, using a real-world use case.

A Probability-Based Optimiser for Breast Cancer Classification in Ultrasound Images
Type: Conference workshop talk
Event: Data Science Africa Workshop 2023,
Date: May 11th, 2023
Venue: University of Rwanda, Kigali, Rwanda

A Deep Dive into Interactive Geospatial Visualization in Python using IpyLeaflet
Type: Conference workshop talk
Event: Python Community Africa Conference (Pycon Africa 2020)
Date: August 8th, 2020
Venue: Virtual Conference

Geospatial Information System (GIS) is a conceptualized framework that provides the ability to capture, store, manipulate, analyze, manage, and present all types of geographical data spatial and Geographic data. Python as a programming language has a lot of libraries which are used for different types of geospatial analysis and each of it has different strengths and limitations. In this talk we I looked at building interesting and interactive geospatial visualisations using IpyLeaflet, how we could use Ipyleaflet widget to design our maps, creating single and multiple markers on map and exporting the interactive visualization in html.

Epidemiology Analysis on the Risk of Coronavirus Disease (COVID-19) in Nigeria
Type: Conference workshop talk
Event: COVID-19 Data Science Nigeria Virtual Conference
Date: April 4th, 2020
Venue: Virtual Conference

Coronavirus disease (COVID-19) is an infectious disease which causes respiratory illness (like the flu) with symptoms such as a cough, fever, and in more severe cases, difficulty breathing. The outbreak of the novel coronavirus disease COVID-19 brought a lot of panic to the world. The number of deaths associated with COVID-19 greatly exceeds the other two coronaviruses (severe acute respiratory syndrome coronavirus, SARS-CoV, and Middle East respiratory syndrome coronavirus, MERS-CoV), and the outbreak is still ongoing, which posed a huge threat to the global public health and economics. This talk focuses on building a conceptualized mathematical model that explains the spread of the virus within a particular number of days with and without government/policy effects.(Policy effects like Shutting down schools, shutting down all religious activities in the country, closing down all borders, restricting interstate traveling and the enforcement of a total lockdown in the most affected locations as well as locations with higher proximity to high risk locations).

A Gentle Introduction to Facial Recognition System Using OpenCV
Type: Conference workshop talk
Event: Python Community Nigeria Conference (Pycon Nigeria 2019)
Date: October 10th, 2019
Venue: Abuja Nigeria

For more than a decade or so, facial recognition has become a popular area of research in computer vision and one of the most successful applications of image analysis and understanding. Because of the nature of the problem, not only computer science researchers are interested in it, but neuroscientists and psychologists also. Face detection is an AI-based computer technology that can identify and locate the presence of human faces in digital photos and videos. Face detection algorithm works in such a way that it use algorithms that determine whether images are positive images (i.e. images with a face). While Facial recognition is a biometric software application capable of uniquely identifying or verifying a person by comparing and analyzing patterns based on the person's face. Facial recognition is mostly used for security purposes, though there is increasing interest in other areas of use. In fact, facial recognition technology has received significant attention as it has potential for a wide range of application related to law enforcement as well as other enterprises. This lecture gives a tutorial of a brief introduction to fecial recognition system using python.