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$20 USD / hora
Bandera de SPAIN
seville, spain
$20 USD / hora
Aquí son las 11:27 a. m.
Se unió el noviembre 4, 2020
0 Recomendaciones

Fabio R.

@frodriguex

 5,0 (7 comentarios)
3,6
3,6
100%
100%
$20 USD / hora
Bandera de SPAIN
seville, spain
$20 USD / hora
100 %
Trabajos finalizados
97 %
Dentro del presupuesto
100 %
A tiempo
40 %
Tasa de recontratación

Computer science Engineer

I'm a specialist in Algorithms Design and Analysis. I have worked in the Machine Learning field for solving Data Science problems. I'm skilled in Object-Oriented programming with languages such as C\# and Python. Also, I've experience working as a web applications developer (Django, Laravel, .NET). Summary: * +5 years in Python * +4 years in C# * +2 year in PHP * Skilled in web applications development with Django, Laravel and .NET frameworks * Agile programming methodologies * Strong knowledge about Algorithms Design and Analysis * Experienced in Machine Learning area for solving Data Science problems * Adaptable, creative and responsible Programming Languages: Python, C#, R, PHP, Javascript, SQL, Html/CSS Spanish, English
Freelancer Python Developers Spain
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Contacta Fabio R. sobre tu trabajo

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Portafolio

8469623
https://github.com/fabio-rodriguez/commerce This is a Django website that uses many Django resources to create a website for auctions. In this project you can have many users. User create, bid and comment on auctions. Users may win auctions if the bid is the greatest bid. Also it is an administration sections for edit auctions, categories, bids, and comment. Here we use many of the resources of Django such as: administration section, database through migrations, Django forms and models. Also, the project has a front-end component, HTML/CSS is used to create and design the pages, How to use? 1. Run the command >> python manage.py runserver 2. Go to the localhost page in your browser
Django Auctions site
8315632
(Github: https://github.com/fabio-rodriguez/kinodynamic-planning) Kinodynamic planning algorithm to compute ornithopters trajectories that minimize energy consumption. A nonlinear dynamic model is used together with a tree-based heuristic search for trajectory planning. Details of the algorithm and the benchmark experiments can be seen in the publication: Kinodynamic Planning for an Energy-Efficient Autonomous Ornithopter. F. Rodriguez, J. M. Diaz-Bañez, E. Sanchez-Laulhe, J. Capitan and A. Ollero. Requirements: Python 3.X Numpy/Scipy Treelib Matplotlib (optional) Usage: Run the main program with the "-default" option to perform a random simulation of the planning algorithm. Run the main program without any options to perform a simulation with a specific start and final state. The program will ask these and additional parameters.
Kinodynamic Planning
8315618
(Github: https://github.com/fabio-rodriguez/machine-learning-module) In this project there is use examples of many machine learning and statistical techniques for solving data science problems on different R data sets. There are also use examples of techniques such as cross validation, bootstraping, and statistical analysis.
Machine Learning module
8469623
https://github.com/fabio-rodriguez/commerce This is a Django website that uses many Django resources to create a website for auctions. In this project you can have many users. User create, bid and comment on auctions. Users may win auctions if the bid is the greatest bid. Also it is an administration sections for edit auctions, categories, bids, and comment. Here we use many of the resources of Django such as: administration section, database through migrations, Django forms and models. Also, the project has a front-end component, HTML/CSS is used to create and design the pages, How to use? 1. Run the command >> python manage.py runserver 2. Go to the localhost page in your browser
Django Auctions site
8315632
(Github: https://github.com/fabio-rodriguez/kinodynamic-planning) Kinodynamic planning algorithm to compute ornithopters trajectories that minimize energy consumption. A nonlinear dynamic model is used together with a tree-based heuristic search for trajectory planning. Details of the algorithm and the benchmark experiments can be seen in the publication: Kinodynamic Planning for an Energy-Efficient Autonomous Ornithopter. F. Rodriguez, J. M. Diaz-Bañez, E. Sanchez-Laulhe, J. Capitan and A. Ollero. Requirements: Python 3.X Numpy/Scipy Treelib Matplotlib (optional) Usage: Run the main program with the "-default" option to perform a random simulation of the planning algorithm. Run the main program without any options to perform a simulation with a specific start and final state. The program will ask these and additional parameters.
Kinodynamic Planning
8315618
(Github: https://github.com/fabio-rodriguez/machine-learning-module) In this project there is use examples of many machine learning and statistical techniques for solving data science problems on different R data sets. There are also use examples of techniques such as cross validation, bootstraping, and statistical analysis.
Machine Learning module

Comentarios

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5,0
$250,00 USD
Project for Fabio
Fabio ha sido una persona muy comprometida con el éxito del proyecto, con una comunicación permanente, y aportando valor en todo momento. ¡Lo recomiendo!.
PHP
Python
.NET
MySQL
HTML
+1 más
Avatar del usuario
Bandera de Angel F.
@angelF2020
•
hace 3 años
5,0
$20,00 USD
Project for Fabio
Excellent. Swift, great problem solver and keen to find solutions to complex problems
PHP
Python
.NET
MySQL
HTML
+1 más
V
Bandera de Sidi Mohamed W.
@vw8014029vw
•
hace 3 años
5,0
$20,00 USD
Python script error fixing
Smart, fast and quick to solve problems. Great to work with and will use again in future
Python
V
Bandera de Sidi Mohamed W.
@vw8014029vw
•
hace 3 años
5,0
$250,00 USD
i need to test a solution in python
great communication, on time delivery
Python
Software Testing
D
Bandera de Alina D.
@demia25nenko
•
hace 3 años
5,0
€15,00 EUR
mejoras archivo.dbf codificacion utf-8 con python
Una vez más el trabajo impecable y la comunicación muy bien.
Python
S
Closed User
@Siempremas
•
hace 3 años

Experiencia

Research and Development Scientist

GRVC - Group of Robotics, Vision and Control
mar 2019 - oct 2020 (1 año, 7 meses)
Research in the areas of Algorithm Analysis & Design, Computational Geometry and Machine Learning applied to robotics. Tasks: * Algorithms design and programming (Python) * Computational simulations * Writing of research articles * Participation in scientific events

Full stack developer

Ampersand - Computing & Design
abr 2018 - feb 2019 (10 meses, 1 día)
Objective: Development of Web and Mobile applications. Tasks: * Back-end development (Django, .NET Framework) * Front-end development (Javascript, HTML/CSS, Material) * Development of cross-platform mobile applications (Ionic) * Database design (MySql)

Full stack developer

Self-employed
abr 2017 - ago 2017 (4 meses, 2 días)
Tasks: * Back-end and Front-end development (.NET, HTML/CSS) * Creation of a Web Crawler for the collection of online information (C#)

Educación

Master in Mathematics

Universidad de Sevilla, Spain 2019 - 2020
(1 año)

Bachelor's degree in Computer Science

Cuba 2013 - 2018
(5 años)

Calificaciones

PH125.8x: Data Science: Machine Learning

Harvard University
2020
https://courses.edx.org/certificates/176043b27b8b4ef99d9b9f20196a8eb5

Python

HackerRank
2020
https://www.hackerrank.com/certificates/6d895e50f09e

Problem Solving

HackerRank
2020
https://www.hackerrank.com/certificates/b318e75874ad

Publicaciones

Kinodynamic Planning for an Energy-Efficient Autonomous Ornithopter

https://arxiv.org/abs/2010.12273
This paper presents a novel algorithm to plan energy-efficient trajectories for autonomous ornithopters. In general, trajectory optimization is quite a relevant problem for practical applications with Unmanned Aerial Vehicles (UAVs). We propose an efficient approach to plan online ornithopter trajectories that minimize energy consumption by combining gliding and flapping maneuvers.

Contacta Fabio R. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Verificaciones

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Principales habilidades

Python 6
MySQL 3
PHP 2
.NET 2
HTML 2

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