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Data Science with 2+ years in AI/ML, data analytics, and public health data.
Data analyst and AI developer working across public health, government, education, and commercial projects since 2023. Currently Junior Data Analyst at Natview Foundation for Technology Innovation, supporting data management, field supervision, and M&E across project sites in Kaduna State. Delivered a zero-error longitudinal dataset covering 80+ primary health care facilities in 14 LGAs, built the SQL warehouse and Power BI model behind the state-wide HEFA dashboard used across the Kaduna State health system, and deployed 4 live AI and ML applications, including an LLM clinical data validator at 97.7% accuracy with zero hallucinations. Skilled in Python, R, SQL, Power BI, ODK, and DHIS2. Open to remote and international opportunities.
Air Force Institute of Technology (AFIT)
B.Sc. · Mathematics
August 1, 2022 – June 30, 2026
Natview Foundation for Technology Innovation
Junior Data Analyst
June 1, 2026 – Present
India
Natview Technology
ICT Instructor & School Supervisor, PDS-FAST (World Bank)
March 1, 2026 – Present
India
Natview Foundation
Field Data Enumerator, Longitudinal Study 2.0
February 1, 2026 – Present
India
Click-On Kaduna
Data Science Fellow
October 1, 2025 – April 1, 2026
India
Lagos State Ministry of Innovation, Science & Technology
Data & Policy Analyst (SIWES Trainee)
April 1, 2024 – October 1, 2024
India
Bilsun Textile LTD
Lead Data Analyst
September 1, 2023 – March 1, 2026
India
Clinical NLP Validator
June 1, 2026 – Present
Built a validation framework that scores LLM extraction from clinical notes across 11 fields and 4 outcome categories. 97.7% mean accuracy and zero hallucinations across 220 field evaluations; 8 of 11 fields cleared for production without human review.
View ProjectDiabetes Risk Predictor
June 1, 2026 – Present
Trained and compared 4 models under 5-fold stratified cross-validation, engineered 4 domain-informed features, and optimised the classification threshold from 0.50 to 0.26, cutting missed diabetic patients from 27 to 6 out of 54.
View ProjectNftify: RAG Question Answering System
June 1, 2026 – Present
Built a full RAG pipeline (scraping, chunking, embeddings, semantic retrieval, generation) delivering source-backed answers with zero hallucination on domain-specific queries about NFTI and Click-On Kaduna.
View ProjectHealthcare A/B Testing Framework
June 1, 2026 – Present
Simulated and validated a randomised controlled trial across 768 patients: stratified randomisation, power analysis (80% power, alpha 0.05), 3 tests per metric, confidence intervals, and effect sizes, ending in a structured clinical recommendation.
View ProjectPython Data Associate
DataCamp
June 1, 2026 – Present
SQL Associate
DataCamp
June 1, 2026 – Present
AI Fundamentals
DataCamp
June 1, 2026 – Present
Understanding Data Science (DataCamp)
DataCamp
June 1, 2026 – Present
Data Science Fellowship
Click-On Kaduna
June 1, 2026 – Present
Green Digital Certificate Program
INCO Academy
June 1, 2026 – Present
Sales forecasting paper
International Journal of Mathematical Sciences and Optimization
June 1, 2026 – Present
The candidate scored 0 out of 17 points (0%) on the 'Data Scientist — Artificial Intelligence' test, indicating a complete failure to demonstrate proficiency in this area.
Limitations
Cultural Fit Analysis
The candidate's diverse project experience across public health, government, education, and commercial sectors demonstrates adaptability and a broad interest in applying data science to various domains. Their involvement in community and student organizations, along with mentorship roles, suggests a collaborative and proactive mindset. The range of technologies and methodologies used in personal projects and professional roles indicates a willingness to learn and apply new skills. The target role of Data Science aligns well with their project portfolio and recent professional experiences, particularly in AI/ML and statistical analysis.
Soft Skills & Operational Fit
The candidate's experience in teaching and project management roles, along with leading student bodies, suggests strong communication, leadership, and organizational skills. Their work in field data enumeration and ICT instruction indicates adaptability and problem-solving in challenging environments. The project descriptions are clear and quantify impact, reflecting good communication. However, the psychometric test score is below average, which might indicate potential areas for development in logical reasoning, stress handling, or team collaboration.