
Results-driven Data Engineer experienced in designing and deploying scalable data architectures within AWS cloud environments. Developed and managed efficient ETL pipelines and secured data flows while optimizing storage for SaaS applications in healthcare and care home sectors. Focused on translating complex business needs into impactful data solutions through expertise in Python, SQL, Java, AWS Glue, Redshift, and CloudWatch.
Air Quality Index Monitoring with Neural Networks
Implemented a neural network-based system for monitoring air quality index using a dataset available on GitHub. Developed a Jupyter notebook for training the model, analyzing results with various evaluation metrics, and saving the trained model for future use. Created a GUI application for deploying the saved model.
Sign Language Recognition Using Convolutional Neural Networks
Developed a sign language recognition system to facilitate communication between deaf and hard of hearing individuals and the wider community. Utilized computer vision techniques and machine learning algorithms for both static and dynamic sign gesture recognition.
The Scrum Game
Developed an interactive Python application utilizing the Flask framework to foster understanding of WIP limits through gamification. Implemented dynamic features such as dice rolling mechanics, configurable settings, and user-friendly interfaces