Aranda B.

Aranda B.

Data person

Mexico , Mexico

Experience: 2 Years

Aranda

Mexico , Mexico

Data person

130000 USD / Year

  • Start Date / Notice Period end date: 2022-05-31

2 Years

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About Me

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Portfolio Projects

Cara a Cara

Company

Cara a Cara

Description

Memorial installation that shows the face of the
Mexican disappeared person that most resembles yourself from a 
2500 image database we scrapped. Includes other strong fact 
checking and a sensitive VR Oculus Go expierence designed for 
reflection and empathy. Developed in Flask, RPI and Python as 
social work at DataLabITAM. The installation is touring around 
different venues as universities, museums and festivals.

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Skills

Flask Python

Writer at Towards Data Science

Company

Writer at Towards Data Science

Description

Visual exploration of Mexico city 
public bike sharing system (ecoVIZ), What moves Bitcoin?. 2 peer 
reviewed articles focused on visualizing information using ML and 
data science.

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COSAbot

Company

COSAbot

Description

Image processing bot in twitter. Scrapes images, or 
receives them as a twit, then filters them with visually 
appealing mathematical transformations and reposts them. Twit him 
something.

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Information processing Jupyter notebooks

Company

Information processing Jupyter notebooks

Description

Implemented some tools 
for computer vision, NLP, data science, and other topics. Clone
the notebooks.

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Resource allocation and transport network design with low coupled distributed systems(liquid brains)

https://www.researchgate.net/publication/352472772_Resource_allocation_and_transport_network_design_with_low_coupled_distributed_systems_liquid_brains

Company

Resource allocation and transport network design with low coupled distributed systems(liquid brains)

Description

Resource allocation and transport networks design have long been studied by life, most of the time human solutions rely on having perfect centralized information of the environment for decision making, this thesis aims to solve these problems in a distributed manner comparing the pros and cons with classical approaches, specifically with focusing in the use of liquid brains, cognitive networks without a solid structure having the ability to tackle information-processing tasks.Resource allocation and transport networks design have long been studied by life, most of the time human solutions rely on having perfect centralized information of the environment for decision making, this thesis aims to solve these problems in a distributed manner comparing the pros and cons with classical approaches, specifically with focusing in the use of liquid brains, cognitive networks without a solid structure having the ability to tackle information-processing tasks.

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