CV
Education
- B.Sc. in Electronics and Communication Engineering
- Mekelle Institute of Technology, Mekelle University (2010)
- M.Sc. in Vision, Image & Robotics (VIBOT) - Erasmus Mundus
- University of Burgundy, University of Girona, Heriot-Watt University (2016)
- Ph.D. in Applied Vision Science
Work Experience
- Researcher/Data Scientist
- University of Portsmouth / University of Oxford (2021 - Present)
- Project area: Development of deep learning models for predicting adverse birth outcomes.
- Researcher
- City University of London (2020 - 2021)
- Project area: Analyzing eye movements for anomaly detection.
- Research Associate
- University of Girona, Spain (2016 - 2017)
- Project area: Deep learning for multiple sclerosis detection from MRI images.
Skills
- Programming Languages
- Python: Proficient in Numpy, Scipy, Scikit-image, Mayavi; experienced in data manipulation and machine learning tasks.
- Matlab: Advanced data analysis and visualization.
- R: Statistical computing and data visualisation.
- C/C++ and OpenCV: Strong fundamentals in structured and object-oriented programming.
- C#: Familiar with C# programming.
- Data Analysis & Machine Learning
- Machine Learning: Experience in building predictive models and algorithms with Scikit-learn.
- Deep Learning
- Frameworks: Proficient in TensorFlow/Keras and PyTorch.
- Applications: Specialized in time series, text processing, and image analysis.
- Statistics: Proficient in analysing and interpreting using R and Python(Scipy).
- Cloud Platforms & MLOps Tools
- Cloud Platforms: Experience with AWS and Azure for cloud-based solutions in data processing and machine learning workflows.
- MLOps Tools: Proficient in AWS SageMaker, Azure Machine Learning, Databricks, MLflow. Intermediate experience in Docker, Kubernetes, and Kubeflow.
- Data Management
- Techniques: Proficient in Pandas, Polars, and SQL. Intermediate experience with PySpark.
- Other Skills
- Operating Systems: Linux, Windows
- Version Control: Git
- Documentation: LaTeX
