Pinned Repositories
ai_research_agent
This project provides a powerful tool to identify the most in-demand skills sought by companies, empowering individuals to make informed decisions for personal and professional growth. Stay ahead of the curve with real-time trends and future predictions in the dynamic field of data analytics.
brazilian_e-commerce
This project focuses on analyzing customer geolocation data from a Kaggle dataset provided by Olist. The mean goal of this Analysis is to gain insights into customer distribution and generate visualizations for better understanding of the information of this Brasilian E-commerce Company.
capital-bike-sharing-maps
This project is dedicated to the analysis of datasets provided by Capital Bikeshare, a prominent bike-sharing company. Through meticulous data wrangling, data cleaning, exploratory data analysis (EDA), and advanced machine learning (ML) techniques, this project extracts invaluable insights from the data.
capital_bike_sharing
This project focuses on analyzing datasets provided by Capital Bikeshare, a bike-sharing company. Through a series of data wrangling, data cleaning, exploratory data analysis (EDA), and machine learning (ML) techniques, valuable insights were extracted from the data.
data_pipeline_tesla_stocks
data_project_template
This project template is created for individuals who find it useful for their Data Analysis or ML projects. It serves as a beta version, offering a structured architecture and code to perform essential steps. The template is optimized for GitHub compatibility and encourages collaboration among colleagues.
films_analysis
This project involves analyzing a dataset of films using Python and creating interactive visualizations with Tableau. The main objective of the project is to gain insights into the film industry based on the available data.
MaxLopezSalgado
sql-playground
This project is a SQL database management system that handles multiple tables and performs various queries and operations on them. It involves four different tasks, each with its own set of tables and questions to solve. The tasks cover a range of scenarios, that allow to apply basic, intermediate and advance SQL queries to different datasets.
wine_quality
This project focuses on analyzing datasets provided by Blueberry Winery, a portuguese wine producer company. Through a series of data wrangling, data cleaning, exploratory data analysis (EDA), and machine learning (ML) techniques, valuable insights were extracted from the data.
MaxLopezSalgado's Repositories
MaxLopezSalgado/data_project_template
This project template is created for individuals who find it useful for their Data Analysis or ML projects. It serves as a beta version, offering a structured architecture and code to perform essential steps. The template is optimized for GitHub compatibility and encourages collaboration among colleagues.
MaxLopezSalgado/wine_quality
This project focuses on analyzing datasets provided by Blueberry Winery, a portuguese wine producer company. Through a series of data wrangling, data cleaning, exploratory data analysis (EDA), and machine learning (ML) techniques, valuable insights were extracted from the data.
MaxLopezSalgado/capital_bike_sharing
This project focuses on analyzing datasets provided by Capital Bikeshare, a bike-sharing company. Through a series of data wrangling, data cleaning, exploratory data analysis (EDA), and machine learning (ML) techniques, valuable insights were extracted from the data.
MaxLopezSalgado/films_analysis
This project involves analyzing a dataset of films using Python and creating interactive visualizations with Tableau. The main objective of the project is to gain insights into the film industry based on the available data.
MaxLopezSalgado/MaxLopezSalgado
MaxLopezSalgado/brazilian_e-commerce
This project focuses on analyzing customer geolocation data from a Kaggle dataset provided by Olist. The mean goal of this Analysis is to gain insights into customer distribution and generate visualizations for better understanding of the information of this Brasilian E-commerce Company.
MaxLopezSalgado/capital-bike-sharing-maps
This project is dedicated to the analysis of datasets provided by Capital Bikeshare, a prominent bike-sharing company. Through meticulous data wrangling, data cleaning, exploratory data analysis (EDA), and advanced machine learning (ML) techniques, this project extracts invaluable insights from the data.
MaxLopezSalgado/sql-playground
This project is a SQL database management system that handles multiple tables and performs various queries and operations on them. It involves four different tasks, each with its own set of tables and questions to solve. The tasks cover a range of scenarios, that allow to apply basic, intermediate and advance SQL queries to different datasets.
MaxLopezSalgado/ai_research_agent
This project provides a powerful tool to identify the most in-demand skills sought by companies, empowering individuals to make informed decisions for personal and professional growth. Stay ahead of the curve with real-time trends and future predictions in the dynamic field of data analytics.
MaxLopezSalgado/data_pipeline_tesla_stocks
MaxLopezSalgado/superstore_e-commerce
This project consist in perform a BI Analysis from an e-commerce`s dataset. The mean goal of this Analysis is to gain insights into customer distribution and generate visualizations for better understanding of the information of this Company.
MaxLopezSalgado/web_deployment_template
In this repository you will find an intuitive and easy user friendly template to deeploy a landing page where you can add your Python visualizations with python.
MaxLopezSalgado/superstore_e-commerce_maps
MaxLopezSalgado/ai_language_coach
This project provides a powerful tool to improve text production focusing in international language certifications such as TELC, DFZ, IELTS, FIRST, Etc.
MaxLopezSalgado/CO2_per_capita_2000-2011
This Project is a Tableau Map Visualization of 4 joined datasets of the CO2 Per Capita emissions between 2000 and 2011
MaxLopezSalgado/python_backend_system
Python backend powered by FastAPI and MongoDB for seamless course info management. Rigorously tested with Pytest, and Containerized for effortless deployment across systems.