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FoodHub Demand Analysis
Project type
Data Science
Analyzed transactional data from a food aggregator platform to uncover customer behavior and product performance. Key Highlights:
Conducted Exploratory Data Analysis (EDA) and statistical analysis.
Identified key drivers of high-order volumes and customer preferences.
Provided recommendations to improve customer experience and optimize product offerings.
Tools: Python, Pandas, Matplotlib, Seaborn.
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