Optimize Product Data Analysis with AI and Python ExpertiseOptimize Product Data Analysis with AI and Python Expertise
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[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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