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Projects
01
Olist Sales Analysis
97% of Olist's 93,357 customers bought only once, and the "Potentially Loyal" group alone brings in 60% of the R$15.4M in sales. This project shows where sales come from and which customers are worth bringing back.
02
IBM Employee Attrition Prediction & Strategy
IBM’s attrition rate stands at 16.12%. By leveraging machine learning to identify high-risk employees and simulating targeted retention strategies, this project successfully reduced the projected attrition rate to 7.6%.
03
Starbucks Space Efficiency Optimization Project
Project driven by experience as a Shift Supervisor, manually collected customer journey data and utilized SQL and Power BI to propose layout optimizations that balance space utilization with revenue efficiency.
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