Data Analyst
• E-commerce Sales Analysis: Examination of sales information to uncover patterns, highlight products, and key revenue indicators, assisting in strategic decision-making. It included calculations of total sales, average sales, total and average number of monthly transactions, in addition to the creation of a dashboard showing monthly and quarterly sales, geographic distribution of sales, market share analysis, and ranking of best-selling products. The insights led to a 20% increase in target product sales and a 15% reduction in marketing expenditures, focusing on high-performance regions and products.• Diabetes Prediction App: Implementation of an app for diabetes prediction through the study of clinical data from the National Institute of Diabetes and Digestive and Kidney Diseases. It included exploratory data analysis (EDA) using statistics and visualizations, data preparation for the application of Machine Learning techniques such as logistic regression, decision trees, Random Forest, SVM, and XGBoost. The app's implementation provided users with early detection capabilities, leading to a 30% increase in early interventions among at-risk individuals.• Challenges in Human Resources: Analysis of satisfaction survey to identify reasons for resignations in the HR sector. Exploration of the costs and challenges in hiring staff and exploratory data analysis to understand the motivations behind employee resignations. The analysis revealed key factors leading to turnover, resulting in the implementation of targeted retention strategies that reduced turnover by 25% and increased employee satisfaction rates by 40%.
