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Labor Cost Reduction Analysis

As a Data Analyst Intern at HBF International, I engineered a data-driven solution by cleaning and analyzing wage/production data using Python, leading to a 20% reduction in weekly labor costs.

I also applied supervised machine learning algorithms (e.g., regression, k-means clustering) to analyze incoming load data and generate precise daily labor forecasts.