[AI-Powered Product Data Analysis using
Abdullah Musa
[AI-Powered Product Data Analysis using Python & Groq]
Analyzed a messy product dataset with 3,348 rows
and 13 columns using Python, pandas, matplotlib,
seaborn, and Groq AI.
Key Findings:
→ 71.5% of products marked expired
→ Top companies identified with highest expired stock
→ Price distribution analyzed across all products
→ AI generated executive business summary
Tools used: Python, pandas, numpy, matplotlib,
seaborn, Groq API, LLaMA model
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Posted Apr 28, 2026
[AI-Powered Product Data Analysis using Python & Groq] Analyzed a messy product dataset with 3,348 rows and 13 columns using Python, pandas, matplotlib, seab...
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