Roxy JIANG
I turn messy Excel/CSV and ML datasets into clean, reliable,
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Built a reusable Python workflow for cleaning and validating messy Excel and CSV data. It normalizes categories, dates, and text, removes duplicates, flags invalid records, and exports cleaned files with audit summaries.
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Built a reusable Python pipeline to audit and prepare YOLO object-detection datasets. It checks image-label pairing, annotation formatting, class IDs, and bounding boxes, then creates reproducible train/validation/test splits. The demo processed 18 images, accepted 13 valid pairs, and identified 6 issues while preserving the original files.
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