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Argilla
CVAT
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Labelbox
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V7 Labs
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Medical DicomAn expert in intelligent document processing, I've contributed to computer vision and neural network models for blur detection, text detection, OCR, document classification and skew detection. Pattern recognition and problem solving are key skills I possess and they assist in making me an efficient and accurate labeller. I have a Bachelor of Mathematical Sciences (Advanced) (Applied Maths) and am a data scientist with in depth knowledge of how machine learning algorithms run, are trained, tuned and evaluated. I also have an IBM Data Science professional certificate.
This project involved prompt engineering with a llama 3 model to classify customer feedback for vulnerability.
This project aimed to train an entity extraction model to find the handwritten answers to questions and convert them to text. Training involved more than 100,000 entities
This project aimed to create a blur detection model to warn customers when they attempted to submit a form that was unreadable. The challenge with this project was the subjectivity of how much blur was too much, I created a scale that had a definitive point for all labellers to refer to for consistency. This involved labelling over 30,000 customer uploaded documents.
The project aimed to create a document classification model using anchors to classify structured forms. This involved labelling over 20,000 submitted forms up to 15 pages in length for each form. The model was trained for 15 forms.
IBM Data Science Professional Certificate, Data Science
Bachelor of Mathematical Sciences (Advanced) (Applied Maths), Mathematics
Data Scientist
Teacher
