02 : Works
My experience includes leading data analysis projects to optimize logistics and sales operations, as well as implementing machine learning models, such as Logistic Regression and Random Forest, to address complex business challenges. Below are some of my favorite projects.
001/006
Gold recovery process
Project focused on improving accuracy in gold recovery calculations in a rougher process.
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002/006
ML Churn rate
This project develops a machine learning model to predict customer churn rate.
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003/006
Time series
Evaluation of diferent models to predict the number of taxi orders in the next hour at airports.
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004/006
Linear Algebra
Use of various techniques aimed at solving problems related to marketing, risk prediction, and data protection.
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005/006
EDA & Hypotesis test (T-student)
Exploratory Data Analysis (EDA) to validate hypotheses and extract valuable insights, incorporating the use of GeoJSON for geospatial data visualization and analysis.
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006/006
Natural Languaje processing (NLP)
The project develops a machine learning model to automatically detect negative user reviews.
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