Highly versatile ICT Professional and AI Developer with over 4 years of hands-on experience, specializing in end-to-end technology solutions across hardware support, medical equipment maintenance, live-streaming production, and advanced AI/ML development. As the sole developer of CardioAI, a production-scale 8-module clinical AI platform, I drive innovation and efficiency while seeking to leverage expertise in ICT Support, Data Analysis, and AI Development roles in Port Harcourt or Lagos.
Information Officer — ICT Support, AI & Data Systems
Lagos, Lagos State, Nigeria
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Summary
Led comprehensive ICT, AI, and data systems management, ensuring operational continuity and driving innovation in clinical technology across multiple locations.
Highlights
Ensured seamless IT and medical equipment operations across multiple clinic locations, resolving technical issues and maintaining zero operational downtime.
Solely developed and deployed CardioAI, an 8-module clinical AI platform (10,000+ lines of Python) for cardiovascular risk prediction (XGBoost AUC-ROC 0.999), enhancing clinical diagnostics.
Built and maintained a MySQL/phpMyAdmin procurement database with 296 service lines, reducing financial reporting cycle time by 30%.
Integrated generative AI tools (Gemini, Claude, ChatGPT) into document production and clinical workflow, automating processes across Microsoft Office 365 suite.
Administered Hospital Management System (HMS), maintaining RDBMS integrity and security of medical records, and provided remote desktop support across Port Harcourt and Lagos.
Set up and operated a full live-streaming studio for clinic events, public health broadcasts, and corporate seminars, ensuring high-quality AV production.
Data Science & Machine Learning Research Fellow
Remote, Nigeria
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Summary
Conducted advanced machine learning research, developing predictive models and automating analytical workflows for operational analysis and safety risk.
Highlights
Built predictive ML models using Python (scikit-learn, TensorFlow) for safety risk and operational analysis, receiving the 3MTT DeepTech Showcase Award for outstanding ML capstone project.
Automated analytical reporting workflows with generative AI tools, including Microsoft Copilot and GPT-based pipelines, and collaborated across distributed teams via Azure ML, GitHub, and Trello.
Field Operations Analyst
Port Harcourt, Rivers State, Nigeria
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Summary
Designed and maintained data visualization tools and contributed to predictive maintenance initiatives for industrial operations.
Highlights
Designed and maintained Power BI dashboards for real-time safety metrics and operational performance monitoring, improving data retrieval efficiency by 40%.
Annotated industrial equipment datasets for predictive maintenance machine learning models, enhancing operational foresight and reliability.
Data Analyst Trainee
Nigeria
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Summary
Developed key performance indicator dashboards and management reports to support executive decision-making.
Highlights
Developed KPI dashboards and management reports using Power BI, Excel, and SQL for executive decision-making.
Translated complex analytical outputs into actionable business recommendations, directly influencing strategic planning.
Data Analytics & Machine Learning Instructor
Nigeria
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Summary
Designed and delivered comprehensive training curriculum in data analytics and machine learning for junior analysts.
Highlights
Developed and delivered training curriculum in Python, SQL, Excel, and data visualization for junior analysts, equipping them with foundational skills.
Led workshops on feature engineering, statistical analysis, and predictive modeling, enhancing participant expertise and practical application.
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B.Sc. (Hons)
Statistics
Courses
Final year research on statistical modelling of infectious disease spread, forming the direct foundation for a peer-reviewed malaria publication.
Probability & Statistical Inference
Regression Analysis
Multivariate Methods
Biostatistics
Operations Research
Awarded By
medRxiv
Cardiovascular AI paper indexed globally, Reference MEDRXIV/2026/349630.
Awarded By
CardioAI
CardioAI 8-module clinical AI platform publicly accessible worldwide.
Awarded By
3MTT
Recognised for outstanding ML capstone project among national cohort.
Awarded By
DSN DeepTech
Fully funded Data Science and Machine Learning fellowship, Cohort 3 (2025-2026).
Awarded By
CareerEx & Access Bank Youthrive
Recognition for data analysis and visualisation skills.
Awarded By
Open Access Research Journal of Multidisciplinary Studies
Peer-reviewed paper published on application of Logistic Regression Model on the Spread of Malaria Infection.
Published by
medRxiv
Summary
Developed an explainable machine learning system (CardioAI) for cardiovascular risk prediction and patient retention in Nigerian healthcare settings (Reference: MEDRXIV/2026/349630).
Published by
Open Access Research Journal of Multidisciplinary Studies
Summary
Investigated the spread of malaria infection using a logistic regression model in Calabar Municipality, based on data from the University of Calabar Teaching Hospital.
Issued By
NLNG/NCDMB
Issued By
3MTT/DSN
Issued By
Digital For All Initiative
Issued By
CareerEx & Access Bank Youthrive
Issued By
National Youth Service Corps
PC, laptop, printer, medical device repair and maintenance, OS troubleshooting Windows 10/11, driver and software installation, network setup and configuration, peripheral device support, remote desktop support, HMS administration.
OBS Studio (advanced), DroidCam, Canon EOS 1200D, HDMI Video Capture Card, Google Meet integration, Samsung Smart TV output, Zoom, Microsoft Teams hosting.
Canva (advanced), CorelDRAW, MS Publisher, ID card and branded materials design, event flyers, clinic forms, Canon TS704 printer operation.
Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI, Tableau, Microsoft Excel (advanced), SQL.
MySQL, phpMyAdmin, PostgreSQL, SQL Server, RDBMS administration, procurement database design and management.
scikit-learn, XGBoost, TensorFlow, PyTorch, SHAP, SMOTE, GridSearchCV, Monte Carlo simulation, DenseNet-121 CNN, Grad-CAM, cross-validation.
Google Gemini API (multimodal), Tesseract OCR v5.5, spaCy, pdfplumber, PyMuPDF, pdf2image, clinical entity extraction.
Streamlit, GitHub, Git, REST API design, HTML, CSS, JavaScript, Node.js, React.
Azure ML, GCP BigQuery, Jupyter Notebook, VS Code, Anaconda, Microsoft Office 365.
Google Gemini, Claude (Anthropic), ChatGPT, DeepSeek, Microsoft Copilot, document production automation, workflow automation.
HTML, CSS, JavaScript, Node.js, React.
Explainable AI, clinical decision support, machine learning in cardiovascular disease prediction, NLP and OCR for African healthcare document digitisation, patient retention modelling, health informatics and AI ethics.
Hardware and IT infrastructure management in medical environments.
Academic references from University of Calabar (Statistics Department) and professional references from JoiHealth Polyclinics and 3MTT/DSN Fellowship supervisors.