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Jeremiah Olamijuwon

Artificial Intelligence Developer (Machine (Deep) Learning Engineer)| Data Analyst| Data Scientist| M.Sc Candidate - Computer Science

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Jeremiah Olamijuwon

Artificial Intelligence Developer (Machine (Deep) Learning Engineer)| Data Analyst| Data Scientist| M.Sc Candidate - Computer Science

I am a tech savvy and smart data scientist. I specialize in the field of machine learning and computer vision and with expertise in Python and R amongst many other languages I am proficient in, I collaborate on projects ranging from finance to health to insurance and many other interesting projects. I am a recipient of several awards and scholarships as well as a member of the largest Honours international society. I have obtained my degrees till date with distinction and I am currently studying towards my masters degree in computer science. My research revolves around using deep learning frameworks to solve driver distraction (drowsiness or fatigue, text-driving etc.) problems in order to reduce the rate of accidents on South African roads.

Resume

Resume

Education
University of the Witwatersrand

M.Sc Computer Science

South Africa

ongoing

University of the Witwatersrand

Bsc (Hons) Computer Science , With Distinction

South Africa

2017

Universite Internationale du Benin

Bsc (Hons) Computer Science , With Distinction

Benin Republic

2012 - 2015

Ascending College

A levels

Nigeria

2011 - 2012

Employment
Eblocks Software (Pty) Ltd South Africa

Consultant Data Scientist

02.2019 - till date

Development of machine learning algorithms, analyzing data and building predictive models. Consulting with clients such as insurance companies concerning insurance policies.

Raphta (Pty) Ltd South Africa

Senior Machine Learning Engineer and Data Scientist

08.2007 - 01.2019

Development of machine learning algorithms, analyzing data and building predictive models. Team leader for certain projects and co-team leader in other projects

University of Witwatersrand South Africa

Course Tutor

03.2017 - 06.2018

Handled computer science courses and lab sessions (Data Structures and Analysis of Algorithms) and applied mathematics courses (Optimization, Numerics and Mechanics) as a tutor.

JMPlus Technologies Nigeria

Co-founder and Software Engineer

08.2013 - 03.2017

Handled administrative duties, development of windows (desktop) applications, website design and development.

Rhema University Nigeria

Assistant Lecturer

10.2015 - 10.2016

Handled computer science courses and lab sessions (Introduction to Programming and Objected Oriented Programming) as an assistant lecturer.

Global Konsult Group Benin Republic

Software Developer

03.2014 - 04.2015

Programming Skills
Python
90%
Matlab
80%
C#.Net
70%
TeX
82%
VB.Net
75%
Analytic Tools
Python
93%
R
88%
Excel
85%
Multimedia Skills
Microsoft PowerPoint20
Adobe Photoshop30
Excel35
Language Skills
English
Yoruba
French

Projects

Notable Projects

Work-Related Projects
ID Number, Face and Name Recognition

Team Leader (Eblocks Software Pty Ltd, South Africa)

2019

Given a South African Identity Document, the task was to: extract the name of the bearer, extract the identity number and also extract the face of the bearer into a directory for future references.

Face Recognition

Team Leader (Eblocks Software Pty Ltd, South Africa)

2019

Given a two images, the task was to identify if these two images are the very same person or not. In the event that they are not the same person, a warning should be made in case of possible impersonation. A certain image is deemed the original, and the secon (or other images) as the comparing images. If the comparing image(s) does not match the original image, a warning is made for that very image.

House Value Prediction using Machine Learning

Applicant (Argility Pty Ltd, South Africa)

2018

A dataset was collected about the median house values in certain areas. Given this data, we developed a machine learning model which is able to predict the value of a house in an area.

Machine learning based count of people’s entrance and exit of a mall

Co-Team Leader (Raphta Pty Ltd, South Africa)

2018

The task was to develop a computer vision problem based on deep learning to count the number of people going in and out of a mall (or office).

Driver Distraction Monitoring System

Team Leader (Raphta Pty Ltd, South Africa)

2018

The task was to develop a system which is able to warn the driver to concentrate on the wheel. This warning is triggered when the system sees that the driver is either using a cell phone or looking sideways or seemingly not concentrated on the wheels. Angle measurement is a major feature to this.

‘Object Detection’, ‘Optical Character Recognition’

Team Leader (Raphta Pty Ltd, South Africa)

2018

The tasks involved in these two projects were to develop a machine learning model which is able to identify certain objects and a machine learning model which is able to identify numbers (0-9) and English letter alphabets (A – Z).

‘Vehicle Classification’, ‘Non-Product Identification’

Team Leader (Raphta Pty Ltd, South Africa)

2018

The tasks involved in these two projects were to develop a machine learning model which is able to identify different vehicles (Truck, Bus, Car or Motorcycle) and a machine learning model which is able to identify a product which does not belong to a certain manufacturer.

Academic
Real-time Driver Alertness Monitoring using Deep Learning Architectures

Masters Project (WITS University, South Africa)

2018

Given the contribution of driver distraction to many motor vehicular accidents, I am developing a real time alert system which monitors the driver state based on facial features and then trigger an alarm when the driver is sleepy (or sleeping). This system is developed to wake drivers up (in the same way as an alarm clock) or allow for the driver to hand over the system to the autonomous vehicle (where applicable).

Credit Card Fraud Detection on Credit Cards

Bsc (Hons) project (WITS University, South Africa)

2017

This research project was inspired due to the astounding loss to credit card frauds in South Africa as stated by SABRIC. South Africa has lost over 4 billion Rand to credit card fraud. I thus created a machine learning model which is able to predict that a transaction on a credit card is fraudulent or not. Given the imbalance problem of this domain too, I tackled the problem of imbalance by applying sampling techniques.

Computer Based Examination System for the Visually Disabled

BSc (Hons) project (Universite Internationale du Benin, Benin Republique)

2015

I developed a computer based examination system, where the computer reads out the questions and the options (in the case of multiple choice questions) and allows the examinee (student) to respond with spoken answers too.

Portfolio

Portfolio

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Copyright © 2019. All rights reserved.

Copyright © 2019. All rights reserved.