Chijioke Ubajaka
Senior Data Scientist
Richardson, Texas, Nigeria
Summary
👤
Senior🎓
Top SchoolChijioke Ubajaka is a Senior Data Scientist with a decade of experience building production ML systems, from YOLO-based object detection pipelines to bank transaction classifiers deployed on SageMaker. Based in Richardson, TX and originally from Nigeria, he blends deep learning (PyTorch, HuggingFace) with robust engineering practices (SQL, Docker, Sagemaker) to deliver measurable business impact—examples include boosting forex trading profits by 35% and improving customer retention by 40%. He has broad fintech and enterprise experience, having shipped stress-testing models, CLV analytics, and operational dashboards that cut costs and raise productivity. An active contributor to open-source, he added Nigerian locale data to the widely used Faker library, reflecting attention to localized data quality that informs his production pipelines.
10 years of coding experience
9 years of employment as a software developer
WASSCE, 9 Distinctions, WASSCE, 9 Distinctions at Federal Government College,EnuguFSLC, Credit, FSLC, Credit at Sedes Sapientiae Nur/Pri School,Onitsha Anambra StateBachelor of Engineering (B.Eng.), Electrical/Electronic, Bachelor of Engineering (B.Eng.), Electrical/Electronic at Federal University of Technology Owerri Nigeria
English, French, Igbo
Stackoverflow
112reputation
17kreached
5answers
4questions
Github Skills (13)
data-generation10
unit-testing10
php10
localization10
faker10
gradient-descent6
machine-learning6
laravel-blade6
laravel6
eloquent6
friendly-id6
mockery6
mocking6
Programming languages (6)
Github contributions (5)
fzaninotto/Faker
Sep 2016 - Sep 2016
Faker is a PHP library that generates fake data for you
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 1 PR, 5 comments in 3 days
Contributions summary:Chijioke contributed to the development of a PHP library focused on generating fake data, specifically for Nigerian locale. Their work involved adding Nigerian-specific data, including names, phone number formats, and internet domain extensions. Further contributions included implementing address data such as regions, counties and countries. The user also added tests to ensure the quality of the data generation.
factorytestingphpdummy-datafaker
andela/eagle-bn-backend
Oct 2019 - Jan 2020
Contributions:72 PRs, 107 pushes, 1 branch in 2 months
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