Name: Javier Sandoval
Type: User
Company: S2G Energy
Bio: Data Analyst with a strong, professional background on energy and sustainability. Experienced at applying data analytics to achieve resource usage efficiency.
Location: Mexico City, Mexico
Javier Sandoval's Projects
This project uses D3 to generate interactive web visualizations of demographics data from the US Census Bureau.
This project aims to create an ETL pipeline from energy consumption data.
This project uses Javascript to create a basic data retrieval webpage which filters UFO sightings from a data set.
This project showcases the location and magnitude of the last seven days of earthquake data from the USGS web API in an interactive world map.
This project uses machine learning methods to classify exoplanets identified by the NASA Kepler space telescope.
This project uses Matplotlib and Jupyter Notebook to generate insights related to different medical treaments on study subjects.
Dynamic realtime profile ReadMe linked with spotify
This project provides an example of the use of Jupyter Notebook to analyze school data trends in a fictional school district.
This project uses Plotly and Javascript to create interactive web visualizations to explore the Belly Button Biodiversity data set of the NC State Public Science Lab.
This project uses calls from the OpenWeather and Google Maps APIs to plan an ideal vacation using Python :sunny:
This project uses basic Python scripting to analyze two datasets related to banking and a local poll data.
Machine learning model to predict solar energy production in Mexico City Metropolitan Area. Results are used to generate a web application to estimate solar energy ROI for domestic users in the region.
In this project, we generated interactive web data visualizations to answer some questions regarding the salaries of the best paying sports through time.
Popularity trend-analysis by genres from the Top 50 of the Spotify platform in Mexico.
This project uses SQL to import data into a database and answer questions about its content and structure. The queries are meant to run in PGAdmin using PostgreSQL.
This project aims to explore historic climate data retrieved from weather stations using Python and SQLAlchemy, to help plan a surfing vacation in Hawaii for end-summer 2020. :surfer:
This project uses VBA macros to identify trends in Wall Street multiple year stock data.
This project is a web data visualization using Python, HTML, and Bootstrap. It uses a web interface to show weather data correlation plots, tables and insights.
This project uses web scraping techniques and technologies to retrieve Mars data from different web sources.