CV

Resume

Professional Summary

Data scientist with a biomedical research background, specialising in healthcare analytics and operational intelligence. Skilled in Python, SQL, and Power BI with a portfolio of 11 end-to-end projects spanning predictive modelling, business intelligence, and healthcare operations. Committed to ethical, transparent, and reproducible analytical practice.

Skills

Programming & Data

PythonSQLPandasNumPyScikit-learnMatplotlib

Business Intelligence

Power BIExcelData VisualisationDashboard Design

Domain Expertise

Healthcare AnalyticsBiomedical DataMedical BiochemistryClinical Data Governance

Soft Skills

Analytical ThinkingResearch MethodologyTechnical WritingStakeholder Communication

Key Projects

Hospital Mortality Risk Analysis

Excel / Pivot Tables / Chi-Square Testing / Monte Carlo Simulation / Risk Adjustment (SMR)

Excel

Electricity Revenue Loss Analysis (IBEDC ATC&C)

MySQL / Python / Pandas / Scikit-learn / SciPy / Statsmodels / Seaborn

BI

Heart Disease Risk Predictor

Python / Scikit-learn / Streamlit / FastAPI

Classification

Appointment No-Show Prediction

Python / Pandas / Scikit-learn / Power BI

Classification

Emergency Room Wait-Time Analysis

Python / Pandas / Matplotlib / Power BI

Time Series

Claims Denial Rate Analysis

Python / SQL / Pandas / Power BI

BI

Experience

Data Science Portfolio Projects

Independent

2024 - Present
  • Completed 11 end-to-end healthcare data science projects
  • Built predictive models for appointment no-shows, patient readmissions, and length-of-stay optimisation
  • Created interactive Power BI dashboards for healthcare operational metrics
  • Applied ethical frameworks and documented limitations in every project

Education

PDG Medical Biochemistry

(Lasucom)

2023 - 2025

Specialised in biomedical research methods, molecular diagnostics, and data-driven biochemistry.

BSc (Ed.) Chemistry

University of Ilorin

2019 - 2021

Studied chemistry with a focus on analytical methods and scientific pedagogy.