ANUOLUWAPO SAMUEL

Aspiring Healthcare Data Analyst
anuoluwaposamuel269@gmail.com, 210001, Ogbomosho, Nigeria.

About

Analytical and detail-oriented Physiology undergraduate transitioning into Healthcare Data Analytics, leveraging a strong foundation in clinical environments and medical data. Proficient in SQL, Power BI, Excel, and Python, with a proven ability to clean complex datasets, develop interactive dashboards, and generate actionable workforce and clinical insights. Eager to apply advanced statistical reasoning and structured problem-solving skills to drive data-driven decision-making in data analyst internships and entry-level roles.

Work

Neuropsychiatric Hospital, Aro
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SIWES Technical Intern

Abeokuta, Ogun State, Nigeria

Summary

Gained practical clinical experience within specialized departments, deeply familiarizing with physiological workflows and diagnostic documentation.

Highlights

Gained practical clinical experience across specialized departments, familiarizing with physiological workflows and diagnostic documentation to enhance understanding of healthcare data context.

Assisted in processing patient evaluation data streams, building robust context for translating complex medical and diagnostic variables into actionable health datasets.

Student Organization
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Financial Secretary

Ogbomoso, Ogun State, Nigeria

Summary

Managed organization financial records, tracking budgets, expenditures, and income allocations via structured spreadsheets.

Highlights

Managed comprehensive financial records, tracking budgets, expenditures, and income allocations via structured spreadsheets, ensuring fiscal transparency and accountability.

Prepared and presented clear, data-backed financial summaries and performance reports to executive stakeholders, facilitating informed decision-making for budget allocations.

Education

Ladoke Akintola University of Technology (LAUTECH)
Ogbomoso, Ogun State, Nigeria

B.Tech (Undergraduate)

Physiology

Certificates

Data Analytics Track & NEXTGEN Cohort Participant

Issued By

3 Million Technical Talent (3MTT) Initiative - Darey.io

Generative AI Course

Issued By

Professional Development

Skills

Data Analysis & Scripting

SQL (Querying, Joins, Aggregations), Python (Pandas, NumPy, Seaborn, Matplotlib).

Data Visualization & BI

Microsoft Power BI, Excel (Advanced Formulas, Pivot Tables, Power Query).

Web Apps & Frameworks

Streamlit, Git, GitHub Version Control.

Domain Expertise

Healthcare Data Analytics, Clinical Physiology, Operational Reporting.

Projects

Employee Burnout Analysis & Prediction App

Summary

Developed a data-driven burnout prediction application utilizing Python and deployed via Streamlit to analyze workspace stress vectors.

Mental Health in the Tech Industry Analytics Dashboard

Summary

Cleaned and structured raw survey data from the OSMI Mental Health dataset, standardizing inconsistent entries and missing fields using advanced Power Query techniques.

HR Attrition Analytics & Workforce Retention Framework

Summary

Queried large-scale workforce records using SQL to extract key performance metrics, department turn-overs, and tenure distributions.

COVID-19 Exploratory Data Analysis

Summary

Conducted a comprehensive exploratory data analysis (EDA) using Pandas and NumPy to filter, aggregate, and examine global infection trajectories.