Global Energy Dashboard
(Collaboration)
A dashboard to visualize the relationship between energy consuption, electricity consumption, CO2 emissions and GDP for a set of countries.
Tools: Python, SQL, Plotly, Flask, Heroku
Dashboard Github RepoHuman Microbiome
A dashboard to explore the biodiversity inhabiting our belly buttons and the factors that might influence microscopic life in humans.
Tools: Python, Plotly, SQLite, SQLAlchemy, Flask, Heroku
Dashboard Github RepoDiabetic Retinopathy
(Collaboration)
We use machine learning to build an image classifier that detects the level of Diabetic Retinopathy from retina images.
Tools: Python, Keras, Tensorflow, SciKit-Learn, Plotly, Flask, Heroku
App Github RepoEarthquake Activity
An interative map showing seismic activity around the world over the last 7 days. The data is obtained from the United States Geological Survey website.
Tools: Python, Leafltjs, GeoJson
Map Github RepoCiti-Bike Ridership
Citi-Bike ridership visualizations to provide insight of bike usage patterns and subscriber population.
Tools: Tableau
Tableau StoryUS Cancer Mortality
Visualizations of rate and number of deaths by cancer in the United States. We use data from the US Cancer Statistics (USCS).
Tools: Tableau
Tableau Story Tableau DashboardWeather API
Visualizations for several weather parameters for over 500 cities around the world.
Tools: Python, Jupyter Notebook, Matplotlib, OpenWeather, API
Visualizations Github RepoSoftware and Programming Languages
- Python, Matlab, C, VBA
- VS Code, Jupyter Notebook, Git, Bash, Anaconda, COLAB
- Pandas, NumPy, Matplotlib, Seaborn, Beautifulsoup, SQLAlchemy
- Heroku, Flask, Plotly, D3.js, Leaflet.js, Tableau
- SciKit-Learn, Keras, Tensorflow
- MySQL, PostgreSQL, SQLite, MongoDB
- HTML, CSS, Bootstrap
Technical Skills
- Machine Learning, Regression Models, Convolutional Neural Networks
- Monte Carlo Simulations, Linear Algebra, Time Series Analysis
- Financial models: Value@Risk, Stress-Testing, Sensitivity Analysis,
- Extract, Transform, Load (ETL) big data for analysis and reporting.
- Collaborate with commercial team to create visualizations and dashboards to communicate opportunities in energy markets.
- Serve as a resource to originators and traders for valuation of new commercial opportunities.
- Develop and maintain models for valuation of natural gas storage, transport capacity and power generation units.
- Strong background in energy risk management of natural gas and power portfolios.
- Develop Value@Risk and Stress-Testing models for managing trading portfolio risk limits.
- Used Convolutional Neural Networks to build an image classification model for detection Diabetic Retinopathy.
- Solid knowledge of Quantitative Methods including, Statistical Analysis and Linear Algebra
Rice University
- Data Analytics Boot Camp Certification, 2019
University of Houston
- PhD Physics, 2006
- MS Physics, 2002
University of Puerto Rico
- BS Physics Applied to Electronics, 1999