Juan B. Cabral, Developer in Córdoba, Cordoba, Argentina
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Juan B. Cabral

Verified Expert  in Engineering

Python Developer

Córdoba, Cordoba, Argentina
Toptal Member Since
October 16, 2014

Juan is a detail-oriented programmer who has been working in Python since 2007. His main interests are data mining, business intelligence, and machine learning. He has worked closely with academics, game developers, and mobile applications and has been described as a motivated individual with clean code and a strong understanding of web technologies.



Preferred Environment

Python, Linux, Scikit-learn, Jupyter Notebook, Visual Studio Code (VS Code)

The most amazing...

...thing I did was a collection of scientific tools to assist in data analysis experiments and a training course in good computing practices for scientists.

Work Experience


2019 - PRESENT
  • Worked on the detection of instrumental errors in large astrophysical data surveys.
  • Designed a tool for the calculation of phase curves in asteroids.
  • Designed a citizen science tool for astronomy for the classification of galaxy morphology.
Technologies: Big Data, Machine Learning, Matplotlib, Bokeh, Dask

PhD Student

2016 - 2018
  • Created a pipeline to manipulate petabytes of astronomical survey data.
  • Developed a tool for feature extraction from stationary time series (Pypi.org/project/feets/).
  • Analyzed more than 13 million astronomical time series by machine learning.
Technologies: Big Data, Astrophysics, Machine Learning

Django Developer with an Interest in Game Theory

2014 - 2016
Center for Law and Economics - ETHZ
  • Rewrote the test framework to execute tests sequentially instead of simulating real-time transactions resulting in 500 times faster test execution.
  • Created a multi-platform launcher for macOS, Linux, and Windows.
  • Redesign the main page of the application with the newest Bootstrap version.
  • Create an automated test to verify the code styles.
  • Created a Python scientific stack connector to the database.
Technologies: Batch Scripting, AppleScript, Bash, Python, Django

Undergraduate Researcher

2009 - 2015
Universidad Tecnológica Nacional - Facultad Regional Córdoba
  • Designed a data analysis technique using graph sand business intelligence methods.
  • Created a tool that implements the data analysis technique.
  • Trained three undergraduate students in Python and KDD.
  • Designed and implemented a low-level language to interact with our data analysis project.
  • Assisted biology researchers in data analysis through Python.
Technologies: SAS OLAP Cube Studio, MDX, SQL, Python

Senior Software Developer

2011 - 2014
Liricus SRL
  • Created software for auto generation in video games to extract data from user decisions and store it in OLAP cubes.
  • Designed a simple web service plugin for a Django web framework.
  • Created software for certifying ISO standards.
  • Created the SCM plan for all the projects in the company.
  • Created all the development environments for user testing in the company.
Technologies: Java, JavaScript, Python


2012 - 2013
PyCon Argentina 2012
  • Selected all vendors for food, video recording and transportation.
  • Chose the talk selection team.
  • Selected the conference location and designed the schedule.

Senior Software Developer

2009 - 2010
Infoxel S.A.
  • Created a tool to analyze text from local newspapers.
  • Created a tool to match news from newspapers and their corresponding web portal.
  • Modernized some apps moving from PHP to Python+Django.
  • Developed a mass-media relevance index for information.
  • Developed new generic views for reporting in Django and efficient retrieval of large datasets from Mongo DB.
Technologies: MongoDB, SQL, Python


Scikit-Criteria is a collection of multiple-criteria decision analysis (MCDA) methods integrated into a scientific Python stack, is open source and commercially usable.
The tool allows MCDA data representation, preprocessing, evaluation, and visualization in an environment similar to scikit-learn.


oTree is an open-source and online software for implementing inter-active experiments in the laboratory, online, the field, or combinations thereof. oTree does not require the installation of software on subjects’ devices, and it can run on any device that has a web browser, be that a desktop computer, a tablet, or a smartphone. Deployment can be internet-based without a shared local network or local-network-based even without internet access.

The programming language is Python, a popular, open-source programming language.

oTree.org provides the source code, a library of standard game templates, and demo games that anyone can play.


Yatel allows the creation of distance-based user profiles in an OLAP network and their multidimensional analysis through a process of exploration.
The code is a reference implementation in constant beta.


Pyedra is a python library that allows you to fit three different models of asteroid phase functions into your observations.

Phase curves of asteroids are very important for the scientific community as they can provide the information needed for diameter and albedo estimates. Given the large amount of surveys currently being carried out and planned for the next few years, we believe it is necessary to have a tool capable of processing and providing useful information for such an amount of observational data.


GalaxyChop is a Python package that tackles the dynamical decomposition problem by using clustering techniques for stellar galactic components in phase space.

It runs in numerical N-body simulations populated with semi-analytical models and full hydrodynamical simulations, such as Illustris TNG and EAGLE.
2015 - 2019

PhD in Data Science

Universidad Nacional de Rosario - Rosario, Argentina

2013 - 2014

Graduate Degree in Applied Statistics for Research

Universidad Nacional De Córdoba - Córdoba

1999 - 2010

Master's Degree in Software Engineering

Universidad Tecnológica Nacional - Córdoba


Matplotlib, peewee, Bottle.py, SQLAlchemy, POSIX, PyQt, Tastypie, SciPy, NumPy, jQuery, Scikit-learn, Pandas, Dask, HDF5


Bitbucket, Virtualenv, Geany, PyDev, Mercurial, Eclipse IDE, Git, GitHub, SAS OLAP Cube Studio, Codeship, Weka, Pytest


Django, Web2py, Flask, Hadoop, Play Framework


Python, Java, JavaScript, Jython, MDX, IronPython, SQL, Bash, AppleScript, XML/XSLT, Common Lisp (CL), Python 3, Fortran


Metaprogramming, Object-oriented Programming (OOP), Agile Software Development, MapReduce, Scrum, OLAP


Ubuntu, Linux, Eclipse, NetBeans, Windows, Jupyter Notebook, Visual Studio Code (VS Code)


JSON, NoSQL, PostgreSQL, MongoDB, MySQL, SQLite, Memcached, Redis, MongoEngine


Module Development, Batch Scripting, Big Data, Machine Learning, Visualization, API Design, Astrophysics, Bokeh

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