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Enoch Apeh portrait

Early-career data analyst focused on health outcomes

Recent graduate who completed a Data Analytics, Health Outcomes externship with ARCeH, looking to connect and grow a professional network.

Work samples

Portfolio includes work completed during a Data Analytics, Health Outcomes externship with ARCeH and related academic projects, showing data analysis applied to health topics.

  • Data Analytics, Health Outcomes Externship with ARCeH
    Data Analytics, Health Outcomes Externship with ARCeH
    ARCeH logo

    ARCeH · Oct 2026 · ✅ Verified by Extern

    Data Analytics, Health Outcomes Externship with ARCeH

    Here’s what the data says: put a pin in Bangkok. Draw a five-hour flight radius around it. You just circled half the world's population. And half of those people are kids under five, an age where survival itself isn't guaranteed. Five isn't an arbitrary number: it's the line researchers use as a proxy for a country's overall health, because almost every preventable childhood death, driven by a bad water source, poor air quality, or an infection nobody caught in time, happens before it. Clear five, and the odds of reaching adulthood jump astronomically. Don't, and the cause almost always traces back to poverty, healthcare access, environmental risk, or nutrition, something that could have been mapped, measured, and prevented in time. That's the gap this externship exists to close: turning scattered, messy public data into a specific, defensible answer about what's actually driving that risk in a given place, and pass it to the people at ARCeH who want to know about it.

    Data AnalysisData VisualizationData Storytelling
  • Healthcare Cost and Length-of-Stay Analysis

    Personal Project

    Healthcare Cost and Length-of-Stay Analysis

    Exploratory healthcare data analysis in Python with Jupyter, covering billing patterns, admission trends, insurance comparisons, medications, and length of stay.

About me

Recent graduate who completed a Data Analytics, Health Outcomes externship with ARCeH, looking to connect and grow a professional network.

I’m a licensed pharmacist with experience across clinical, community, and institutional pharmacy, alongside a background in public health research and data analytics. My work includes medication dispensing and counselling, medicine safety and inventory management, community health outreach, and program monitoring and reporting. I use Python, R, SQL, Excel, and Power BI to organize and interpret data, support evidence-based decisions, and communicate findings. My research interests include epidemiology, antimicrobial resistance, infectious disease prevention, and data-driven biomedical research

Externships

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

In progress

Experience

Program Officer/Data Analyst (remote)

The Gift Ugbo Foundation, Lagos · October 2023 – Present

Clinical Pharmacy Officer

Federal College of Education Yola, Clinic (NYSC) · June 2025 – May 2026

Team Lead

Public Health Team, College of Pharmacy, Igbinedion University, Edo state · Sept. 2022 – July 2023

Health Officer

Amazon Healing for Women and Children Initiative, Yola · January 2026 – Current

Intern

Pharmacy Council of Nigeria, FCT – Abuja Nigeria. · Feb. 2024 – Feb. 2025

Volunteer – Clinical Support

Kubwa General Hospital, Abuja · Mar 2021 – Aug 202

Freelance Academic Research & Data Analyst

Freelance · 2023 – date

Education

AltSchool Africa

Diploma in Data Analytics

Igbinedion University, Okada

Bachelor of Pharmacy Edo State, Nigeria

Skills

Data analysisHealth outcomesExternship project workNetworking and relationship buildingBachelorlevel academic training

✅ Verified by Extern

Data Analytics, Health Outcomes Externship with ARCeH

Here’s what the data says: put a pin in Bangkok. Draw a five-hour flight radius around it. You just circled half the world's population. And half of those people are kids under five, an age where survival itself isn't guaranteed. Five isn't an arbitrary number: it's the line researchers use as a proxy for a country's overall health, because almost every preventable childhood death, driven by a bad water source, poor air quality, or an infection nobody caught in time, happens before it. Clear five, and the odds of reaching adulthood jump astronomically. Don't, and the cause almost always traces back to poverty, healthcare access, environmental risk, or nutrition, something that could have been mapped, measured, and prevented in time. That's the gap this externship exists to close: turning scattered, messy public data into a specific, defensible answer about what's actually driving that risk in a given place, and pass it to the people at ARCeH who want to know about it.

Data AnalysisData VisualizationData Storytelling

Overview

The project examined available public health datasets to determine which factors drive under-five mortality within a defined region. The work reviewed data sources, analytic approaches, and limitations, then applied correlational analysis and data preparation techniques to surface measurable risk factors from scattered public records.

Data Analytics, Health Outcomes Externship with ARCeH
Google Slides
Access

What I've accomplished

I selected and validated the Nigeria MICS6 2021 dataset, confirming file structure, variable presence, sample size, missingness, units, and join keys met the study's fitness criteria.

Project breakdown

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Healthcare Cost and Length-of-Stay Analysis

Exploratory healthcare data analysis in Python with Jupyter, covering billing patterns, admission trends, insurance comparisons, medications, and length of stay.

Overview

Exploratory healthcare data analysis in Python with Jupyter, covering billing patterns, admission trends, insurance comparisons, medications, and length of stay.

View all work
Back to work

Differential Gene Expression Analysis in Pancreatic Cancer

Differential gene expression analysis using limma on GSE15471 dataset

Overview

Differential gene expression analysis using limma on GSE15471 dataset

What I've accomplished

The analysis revealed clear transcriptional differences between tumor and normal pancreatic tissues. A substantial number of genes were significantly upregulated in tumor samples, suggesting activation of oncogenic pathways. Conversely, a smaller subset of genes was downregulated, indicating suppression of normal cellular functions. These findings highlight potential molecular targets relevant to

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✅ Verified by Extern · ⏱️ In progress

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.

AI & MLPythonDocument IntelligencePresentation Skills

Overview

The project prototyped an AI-powered document insights pipeline using optical character recognition, large language models, and retrieval-augmented generation. The work documented model behavior and integration choices, and produced explanatory material that clarified how LLM components and OCR fit together in an end-to-end extraction workflow.

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

What I've accomplished

I produced a written summary explaining LLM tokenization, transformer self-attention, and fine-tuning approaches, including reinforcement learning from human feedback, as applied to pharmaceutical document processing.

Project breakdown

I summarized how LLMs tokenize text, use transformer self-attention to capture context, and are pre-trained then fine-tuned with methods like RLHF to improve helpfulness, accuracy, and safety.

View all work