Harol Estevez's repositories
DataScience-Resignation_Prediction
This project conducts a comprehensive analysis of employee data from the company 'ABC' and employs various machine learning models to predict potential employee resignations. Subsequently, it evaluates and compares the performance of these models based on different evaluation metrics.
aprende-java-con-ejercicios
Ejemplos y soluciones del libro "Aprende Java con Ejercicios"
DataAnalyst-Customer_Bank_UK
This data analysis project focuses on extracting insights from the customer data of Bank UK, a financial institution with branches across England, Scotland, Wales, and Northern Ireland.
DataAnalyst-Sales_Dashboard
This project focuses on analyzing data from 'Global Distribution,' a multinational company engaged in worldwide sales. Leveraging Tableau, I have created insightful visualizations that provide valuable insights into the company's operations.
DataEngineer-SMS-Twilio
Sending SMS with Twilio for weather forecast information.
DataEnginner-Gas_Station_Geolocation
This project aims to leverage the Google Location API to extract coordinates from addresses in a dataset, powering a Streamlit application within Docker containers. Users can input their address to retrieve nearby gas station locations, ranked by gasoline prices, displayed on a map.
DataEnginner-Leagues_Snowflake
Project focusing on extracting, transforming, and loading (ETL) soccer league data from website into a Snowflake data warehouse, with subsequent analysis using Power BI.
DataEnginner-Streaming_ECommerce
This project is an engineering data pipeline designed to collect real-time data from an e-commerce platform and process it for visualization using various technologies.
DataEnginner-Youtube_Statistics
This project is a comprehensive data engineering solution designed to automate the process of analyzing YouTube channel statistics. Utilizing AWS services and the YouTube API.
DataScience-Sales_Prediction
This project utilizes Prophet, a powerful forecasting tool developed by Facebook, to predict seasonal sales patterns. Leveraging time series analysis techniques, the project aims to forecast the seasons of the year with the highest sales.
Hola-Mundo
Este es mi primer programa