Industrial Engineer with more than 15 years of experience in data analytics and visualization, and a strong knowledge of statistical methods, data gathering, and analysis. Comfortable with tools like Excel, Python, SQL, R, SAS, Machine Learning, and Tableau. Proven technical and leadership abilities in data warehousing, data healthcare, and data management environments. Passionate about data analytics and learning new technologies.
The Belly Button Biodiversity project is an interactive dashboard to explore the Belly Button Biodiversity Data Set using HTML/CSS/Bootstrap, JavaScript Library Plotly, Python and Flask.
This project involves building a website using JavaScript, HTML, and CSS with UFO sightings data sets that will allow users to interact with data for specific information.
A visualization page made for the USGS Earthquake GeoJSON data with Leaflet and JavaScript
A website using HTML and CSS where we can visualize weather data, these pages will contain the visualizations and their corresponding explanations. We also have a landing page, a page where we can see a comparison of all of the plots, and another page where we can view the data used to build them.
A visualization dashboard that analyzes The New York Citi Bike dataset
A Visualization dashboard created using D3 Techniques to explore the associations between demographics and health risk factors using survey data collected from the American Community Survey (ACS) and the Behavioral Risk Factor Surveillance System (BRFSS) during the year 2014.
Python, R, Pandas, SAS, Tableau, Project, Visio, Office, Surfer.
Mining, Processing, Cleaning, Modeling, Visualization, ETL.
SQL.
GitHub.
Preventive Maintenance, Logistics Management, Health and Safety.