Data Scientist | Deep Learning Researcher | MSc Data Science (First Class)
Based in Dar es Salaam, Tanzania 🇹🇿
I am a data scientist and machine learning researcher with hands-on experience in deep learning, computer vision, and medical image analysis. I hold an MSc in Data Science (First Class Honours) from Chandigarh University, India, and a BSc in Business ICT from Moshi Co-operative University, Tanzania.
My research interests include:
- 🧠 Medical image analysis and computer vision
- 🔬 Deep learning and transfer learning
- 📊 Model interpretability and explainable AI
- 📡 Machine learning for wireless network optimization
Automated 5-class classification of diabetic retinopathy severity from retinal fundus images using ResNet18 transfer learning in PyTorch.
- Test Accuracy: 83%
- Dataset: 3,662 retinal fundus images (Kaggle)
- Classes: No DR, Mild, Moderate, Severe, Proliferative DR
- Tech: Python, PyTorch, TorchVision, scikit-learn
Emerging of Machine Learning and Deep Learning Technology: Addressing in Intelligent Wireless Network Optimization Published on IEEE Xplore, 2023 Co-authored comparative analysis of CNN, RNN and classical ML architectures for wireless network optimization across benchmark datasets including NSL-KDD and CICIDS2017.
Languages & Frameworks Python | PyTorch | TensorFlow | scikit-learn | pandas | NumPy | matplotlib
Areas Deep Learning | Computer Vision | Transfer Learning | Medical Image Analysis | Data Analysis | ERP Systems
Tools Google Colab | GitHub | MATLAB | SQL
🎓 MSc Data Science — First Class Honours Chandigarh University, India (2021-2023)
🎓 BSc Business ICT Moshi Co-operative University, Tanzania (2018 - 2021)
- 🔬 Developing a retinal image classification pipeline for diabetic retinopathy detection
- 📚 Applying for PhD positions in Deep Learning and Medical Image Analysis
- 🎤 Active member of Dar Toastmasters Club
📧 mariammadata98@gmail.com 🔗 GitHub
Open to PhD opportunities, research collaborations, and data science roles