Alvin Ondieki
Data Scientist | AI & Software Engineer | ML Engineer | IT Professional
Versatile software and IT professional with expertise in full-stack development, Artificial Intelligence, machine learning, developing data-driven solutions and IT systems management. Experienced in building cross-platform mobile apps, predictive models, and secure IT infrastructures. Skilled in delivering end-to-end solutions that combine software engineering, data science, and cloud deployment to solve real-world challenges. Passionate about leveraging technology to solve real-world problems and drive innovation.
Education
BSc in Information Technology – Dedan Kimathi University of Technology, Nyeri (Second Class Upper)
Experience
1.Mobile & Web App Developer – CLS Cars & XOMA (Freelance/Managed Projects) | 2024 – Present
Developed and manage cross-platform mobile apps for CLS Cars and XOMA using Django, React Native, and Flutter.
Built robust backends using Python/Django and PostgreSQL to handle user data and transactions securely.
Integrated APIs for payment, notifications, and data analytics, improving user engagement by 30%.
Maintain app deployments on cloud (Render, AWS), ensuring uptime and scalability.
Implemented analytics dashboards for app performance monitoring and user behavior tracking.
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2.Freelance Software Developer & Data Scientist | Remote | May 2024 – Mar 2025
Designed predictive models and interactive dashboards, reducing client reporting time by 40%.
Developed AI-powered full-stack applications (Django, React.js, Android) for healthcare and enterprise clients.
Architected SQL and NoSQL databases ensuring high performance, data security, and availability.
Configured networks, VPNs, and firewalls for client IT operations.
Delivered ETL pipelines and analytics dashboards using Python, Power BI, and Tableau to drive decision-making.
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3.ICT Officer Intern – Naivasha Sub-County Referral Hospital | May 2023 – Aug 2023
Managed hospital IT infrastructure including servers, networks, and virtualization (Linux/Windows).
Secured clinical datasets and supported research workflows using REDCap, ODK, and DF-Net.
Implemented IT security measures, backups, and disaster recovery protocols.
Delivered technical support to staff, reducing system downtime by 25%.