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maryamn9/README.md

Hi, I'm Maryam Naveen

Data Analyst · AI & Machine Learning Enthusiast

Data Analytics Python SQL Power BI Tableau Machine Learning

🧑‍💻 About Me

I'm a Data Analyst & AI enthusiast with an MSc in Applied Computer Science & AI, passionate about turning raw data into meaningful insights and building intelligent solutions.

  • MSc Applied CS & AI — with a thesis on Down Syndrome detection via facial analysis using MediaPipe, ResNet50, SVM, and YOLO11
  • Practicing the full analytics pipeline: from data wrangling to interactive dashboards
  • Exploring the intersection of Machine Learning and real-world data challenges
  • Based in Manchester, UK — actively seeking Data Analyst, Data Scientist, and AI roles (full-time, contract, or graduate)
  • Completed a 30-Day Data Analytics Challenge — 30 consecutive days across SQL · Python · Power BI · Tableau, incl. a 1.5M-row UK Road Accidents analysis

💡 Expertise & Skills

Languages & Libraries: Python · SQL · Pandas · NumPy · Scikit-learn · Matplotlib · Seaborn

Visualisation & BI: Power BI · Tableau · Jupyter Notebook

Machine Learning & AI: Classification · Computer Vision · MediaPipe · ResNet50 · YOLO · SVM · Random Forest

Tools & Platforms: Git & GitHub · Excel · Google Colab · VS Code

🚀 Featured Projects

🔬 Down Syndrome Detection via Facial Analysis

MSc Thesis Project — Computer Vision meets Healthcare AI

  • Partitioned facial region analysis using MediaPipe landmarks
  • Compared ResNet50, SVM, and Random Forest classifiers
  • Object detection pipeline with YOLO11
  • 7 partitioned facial regions analysed independently for region-specific markers

📊 Data Analytics Portfolio

30-Day Analytics Challenge — Completed

  • End-to-end projects using SQL, Python, Power BI, and Tableau
  • Real-world datasets with storytelling through data visualisation

🏢 Forage Virtual Certificates

Industry simulations from leading companies via Forage

  • Hands-on exposure to real business data and analytics problems

🤝 Let's Connect!

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  1. down-syndrome-detection-facial-analysis down-syndrome-detection-facial-analysis Public

    Partitioned facial region analysis for Down Syndrome detection using MediaPipe, ResNet50, SVM, Random Forest and YOLO11 — MSc thesis project.

    Jupyter Notebook

  2. rail-hazard-ai rail-hazard-ai Public

    Real-time object detection system using YOLOv8 and OpenCV for live webcam inference.

    Python

  3. data-analytics-portfolio data-analytics-portfolio Public

    Data analytics portfolio | SQL · Python · Power BI · Tableau | 30-day challenge Completed

    Jupyter Notebook

  4. forage-certificates forage-certificates Public

    A collection of virtual job simulations and certifications from industry-leading companies via Forage.