MUHAMMAD ASIF
Expert AI Datasets: Captions, Annotation & Synthetic Data
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Bounding Box Labeling for Object Detection
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6
Semantic Segmentation Annotation
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10
E-commerce Customer Behavior Dataset
I generated a high-quality synthetic dataset of 10,000+ customer records to train recommendation engines and churn prediction models. The data is statistically accurate and privacy-safe — the client’s model accuracy improved up to 98.7%.
Real sample data (10 rows):
customer_id age gender total_purchases_usd product_category loyalty_score last_purchase_date
CUST000001 44 Male 312.42 Fashion 3124 2025-05-12 00:00:00
CUST000002 30 Female 142.67 Electronics 1842 2026-01-15 00:00:00
CUST000003 29 Male 187.34 Home & Kitchen 876 2025-08-03 00:00:00
CUST000004 51 Female 89.12 Books 2341 2025-03-20 00:00:00
CUST000005 38 Male 456.78 Beauty & Health 4567 2026-02-01 00:00:00
CUST000006 27 Female 134.56 Fashion 1234 2025-11-10 00:00:00
CUST000007 62 Male 78.90 Electronics 890 2025-06-25 00:00:00
CUST000008 33 Female 289.45 Home & Kitchen 3456 2025-09-05 00:00:00
CUST000009 45 Male 167.23 Books 1678 2026-01-30 00:00:00
CUST000010 19 Female 512.34 Beauty & Health 5123 2025-04-18 00:00:00
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