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Amara-4312/README.md

💫 About Me

Hi, I’m Amara ✨

I’m interested in the intersection of data, health, research, and technology — particularly how better use of data can help us understand health challenges and build better systems.

🔎 My projects span health data analysis, machine learning, public health research, data visualisation, and AI-enabled tools. I enjoy working across different problems, from analysing population health data and exploring chronic disease patterns to building predictive models and interactive applications.

🧪 My background is in Applied Biochemistry, and I’m particularly interested in the growing space between biomedical research, data science, and digital health.

📊 I work with Python, SQL, Excel, R, Tableau, Power BI, Datawrapper, and Streamlit, and I’m continually expanding my analytical and technical toolkit.

🌍 I’m interested in projects and research that use technology and evidence to address real-world challenges in healthcare, public health, and health systems.

🎓 I’m also building toward graduate study and research opportunities at the intersection of health data science, AI, biomedical research, and digital health.

🤝 I’m always open to collaborating on thoughtful projects involving health, data, research, technology, and better healthcare systems.

✨ Outside of the technical stuff, I’m passionate about science, learning, education, travel, and making complex ideas easier to understand.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

R Python MySQL Canva Figma Matplotlib NumPy Pandas scikit-learn Plotly GitHub Gitpod Trello Notion

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  1. CDC-predictive-modeling-2015 CDC-predictive-modeling-2015 Public

    ## Project Overview This project explores the classification of self-reported diabetes diagnosis using data from the 2015 CDC Behavioral Risk Factor Surveillance System (BRFSS). The analysis invest…

    Jupyter Notebook

  2. Hypertension-Statistical-Analysis Hypertension-Statistical-Analysis Public

    Nigeria DHS Hypertension Analysis

    Python

  3. Stroke-Risk-prediction-App Stroke-Risk-prediction-App Public

    🧠 Stroke Risk Predictor A machine learning web app that predicts stroke risk based on patient health indicators.

    Jupyter Notebook

  4. t2d-whole-blood-transcriptomics t2d-whole-blood-transcriptomics Public

    Reproducible whole-blood transcriptomics analysis of Type 2 Diabetes using GSE189005, including differential expression, pathway enrichment, GSEA, and exploratory biomarker modelling.

    R 1

  5. HealthVerse HealthVerse Public

    HealthVerse is a multi-agent AI health companion that allows users to explore their health through an interactive human body, receiving educational insights, risk awareness, and wellness guidance.…

    TypeScript

  6. Healthcare-Expenditure-Analysis Healthcare-Expenditure-Analysis Public

    Python