My name is Jesus Trejo, master in sciences, enthusiastic and passionate about Data Science and Data Analytics. Here, you will find projects developed in Python, R, Power Bi and Tableau that I have worked on. This site aims to share a summary of my praxis, experience and demonstrate my skills in data analysis and machine learning.
The purpose is to investigate a customer database with the objective of identifying groups with similar characteristics or behaviors within the dataset with some variables such as: age, gender, location, status, etc.
The aim is to analyze the factors of a dataset from the Happyforce platform that measures aspects of employee well-being, staff engagement among others and use machine learning to predict employee turnover.
Analysis of university careers in the United States using K-means Clustering to identify the differences between careers according to factors such as: salary, growth, etc.
Analysis of data collected by the Runkeeper application. The objective is to get information about the progress and performance over the years.
Analysis of cab trips in Manhattan, New York using Random Forest and Regression Tree models to predict the locations and times of peak activity and consequently maximize workers' earnings.
Evaluation of the situation in Mexico City regarding the current pandemic. In this report we count and visualize the number of infections and deaths that have occurred in the country and in each state.
Analysis of the results of the National Health and Nutrition Examination survey to verify any relationship between the measurements, in particular the Body Mass Index and its relationship with physical activity.
Manipulation, cleaning and exploratory analysis of banking data in order to create a machine learning model that can predict whether a credit card application made by an individual will be accepted or not.