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 the Manchester, United Kingdom — open to Data & AI roles
- Currently working on a 30-day Data Analytics Challenge (SQL · Python · Power BI · Tableau)
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
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
- Built entirely in Python using Jupyter Notebook
30-Day Analytics Challenge — Started May 2026
- End-to-end projects using SQL, Python, Power BI, and Tableau
- Real-world datasets with storytelling through data visualisation
Industry simulations from leading companies via Forage
- Hands-on exposure to real business data and analytics problems
- LikedIn: https://www.linkedin.com/in/maryamnaveen/
- Email: maryamnaveen03@gmail.com
Actively seeking opportunities in Data Analytics, Data Science, and AI — open to full-time, contract, or graduate roles.