Vesuvius
Data Pipeline

Automatic PDF reports for your company's email blasts.

View IronHack Project

Rise UP!
Music Industry Tool

Predict the success of any Spotify artist.

View IronHack Final Project

Diamonds
Supervised Machine Learning

Can we guess the pice of a diamond with AI?

View Kaggle Competition

Roberto Ignacio Henríquez Perozo

Analyst with Python skills and a strong background in Marketing and Business Administration. Interested in the future of data and generating detailed and cross-functional insights dashboards for precise decision making.
Constantly learning. ~ ♠


Data
Exploration

Choose a project


made from scratch with python

Rise UP!

Developed a tool for the music industry that predicts the success of any Spotify Artist.
Regression Machine Learning.

Vesuvius

Enriched a volcanic eruptions dataset with NASA/SpaceX satellite photographs and GeoLocation data. Additionally, developed a CLI program that generates a multi-page PDF report, and sends it in an email blast.

Diamonds

We attempted to predict the sale price of a diamond by optimizing the Root Mean Squared Error (RMSE) and various Supervised Machine Learning models. The predicted prices had an RMSE of ~ $500.

Peninsula

Created the Social Entrepreneurship Brand which sold handcrafted ethnic products through digital channels. Automated Instagram publications and audience interactions with CSV content, Selenium, and InstaPy.