Jaime Leal

Coursera data science specialization projects.

A simple text prediction application.

A porous media flow simulator that I made. It is used to simulate flow in a reservoir. The simulator can handle single-phase and two-phase flow, as well as vertical wells, boundary conditions, and different solvers.

To train the speech synthesis models you need a dataset consisting of thousands of pairs of audio clips and their transcriptions. Extracting audio clips from recordings is easy. The difficult part is matching each audio clip to its transcript. Even in cases when you already have an accurate transcript, as it is with audiobooks, the process of manually matching each audio clip to its corresponding text is tedious and time-consuming.
A workaround is to use an automatic speech transcription service to transcribe each audio clip.

A Tableau dashboard to visualize the fishing industry performance in Mexico from 2008 to 2014 with information from CONAPESCA. The dashboard shows production per state and by top species, segmented by its origin, capture, or aquaculture.

Select a movie from the search bar and the app will recommend other movies like the one that you selected.

The app uses a content-based recommender system, trained on movie descriptions to suggest movies that are similar to each other. The dataset for the analysis comes from "The Movies Dataset" and it contains 45,000 movies released on or before July 2017.

A Tableau dashboard to explore the electricity production in the United States segmented by location and energy source with data from the US Energy Information Administration. The dashboard gives an overview of the total electricity production of each state and the individual locations of each power plant.