Brian Kuria
@briankuria
I’m a machine learning engineer and data scientist building scalable models and cloud-ready backend systems.
What I'm looking for
I’m a Certified AWS Solutions Architect and Machine Learning Engineer with proven experience building end-to-end machine learning pipelines and data-driven applications. Through mentorship and internships, I’ve delivered scalable analytics solutions using Python and R, while translating complex technical work into measurable business impact.
In my mentorship at Phoenix KE Analytics, I completed multiple data science projects, including exploratory analysis on 50,000+ records and predictive modeling that improved forecasting accuracy by 18%. I also helped refine data pipelines with a team of 5 analysts, boosting processing efficiency by 22%, and strengthened model accuracy through validation and feature engineering.
At Modus Chora Studio and in subsequent projects, I combined analytics with backend execution—building a Django system supporting 500+ transaction requests per day and improving ticket sales efficiency by 30%. I’ve also contributed as an LLM output tester and QA contributor, reviewing 500+ code snippets, documenting 150 logic/edge-case issues, and improving AI coding assistant accuracy by 25% through clear feedback and quality scoring.
Experience
Work history, roles, and key accomplishments
Data Science Mentee
Phoenix KE Analytics
Apr 2026 - Present (1 month)
Completed 3 data science projects during mentorship, applying Python, SQL, and Power BI to deploy data-driven applications. Developed 2 predictive models that improved forecasting accuracy by 18% and conducted EDA on 50,000+ records, collaborating with a 5-person team to improve data pipeline efficiency by 22%.
Data Science Intern
Modus Chora Studio
Oct 2025 - Apr 2026 (6 months)
Orchestrated weekly data collection and preprocessing pipelines handling 25,000 records, and performed EDA on datasets with 150 features to guide strategic decisions. Improved prediction accuracy by 12% through statistical and machine learning models and created 30 visualizations for stakeholder communication.
LLM Output Tester
Bulba Code Testers (Remotask)
May 2023 - Dec 2023 (7 months)
Reviewed and validated 500+ code snippets across C, Java, JavaScript, Python, and SQL to ensure strict compliance with task guidelines. Identified and documented 150 logic/syntax/edge-case issues and provided feedback that contributed to a 25% increase in AI coding assistant accuracy while maintaining task efficiency 20% above platform average.
Education
Degrees, certifications, and relevant coursework
ALX Africa x Explore AI Academy
Data Science Specialisation, Data Science
2025 - 2026
Activities and societies: Hands-on ML/statistics projects, including model evaluation and deploying a model as an interactive web application.
Completed a Data Science Specialisation program with ALX Africa and Explore AI Academy (2025–2026). Built projects covering supervised/unsupervised learning, neural networks, and model evaluation using Python.
Amazon Web Services (AWS)
AWS Certified Solutions Architect, Cloud Computing
2024 -
Earned the AWS Certified Solutions Architect certification in 03/2024.
Amazon Web Services (AWS)
AWS Certified Cloud Practitioner, Cloud Computing
2024 -
Earned the AWS Certified Cloud Practitioner certification in 03/2024.
Kenyatta University
Bachelor of Information Technology, Information Technology
2020 - 2024
Grade: Second Class Honours Upper Division
Activities and societies: Coursework: Software Development, Databases, Networking, and IT Infrastructure.
Completed a Bachelor of Information Technology program at Kenyatta University (2020–2024). Graduated with Second Class Honours Upper Division.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
kobeyvines.github.ioPortfolio
kobeyvines.github.ioSalary expectations
Social media
Job categories
Skills
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