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TextI have a strong background in data processing, statistical analysis, and data-driven decision making developed through my engineering education and hands-on research experience. I am comfortable working with tools such as Power BI, Excel, and Python, and I have built automated workflows using VBA to improve efficiency and reduce repetitive manual work. In my research, I worked with datasets of over 10,000 data points, extracting meaningful insights while maintaining a high standard of accuracy and data quality. I am highly detail-oriented and comfortable with technical data annotation, cleaning, and organization. I enjoy working within software platforms to structure, label, and interpret complex information so it can be used effectively for model training and evaluation. Overall, I approach data with precision, consistency, and a strong focus on producing reliable, high-quality outputs that support AI development.
Annotated images for object detection, labeling bounding boxes across large datasets to support training computer vision models for accurate object recognition.
Bachelor of Applied Science, Process Engineering, Minor in Commerce
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