Gabriel Naya

Montevideo, Uruguay · gnaya73@gmail.com

I am a data science enthusiast, Machine Learning & Data Quality teacher at CPE institute. I am an Artificial Intelligence practitioner in Phyton and multiple frameworks for each use case. Software developer full stack in Angular and Java-Spring framework. Since 2019 I work in Kreilabs, where we power startups and entrepreneurs in technologies in the continuous research process. Finally, I'm a Social Educator and Toward Data Science writer.


Skills

Programming Languages & Tools
Extra skills / knowledge
  • Machine learning and deep learning complete cycle
  • Pentaho, Pandas and Open Refine for DTE
  • Keras, Tensorflow framework
  • Fast.ai framework
  • Open CV
  • BERT and multiple tools for NLP clasification tasks
  • Pandas, Numpy and Sklearn libraries
  • Spring Boot framework
  • Django
  • Starlette and Uvicorn

Experience

Programmer

Opus Software S.A. - Uruguay

Programming ERP in Basic and Visual Basic, Visual Fox PRO.

Reference link.

September 1994 - 1998

Programming Leader

Opus Software S.A. - Uruguay

Leader of the programming team for the development of one of the main ERP's in Uruguay.

July 1998 - May 2001

Developer Manager

Opus Software S.A. - Uruguay

Manager and Gerencial role

June 2001 - December 2018

Proyect Manager Professional

Opus Software S.A. - Uruguay

Lead the different technological projects of the company and big projects of specific development for clients

October 2014 - Today

Kreilabs co-founder

Kreilabs Uruguay

Kreilabs is a venture with the firm goal of being the technology partner for startups looking for solutions beyond MVP. In this entrepreneur, I have dedicated myself to the tasks of development of platforms and technologies.

April 2019 - Today

Education

O.R.T. Uruguay

Analyst Programmer
Analyst Programmer

March 1991 - August 1994

CENFORES - Ministerio de Educacion y Cultura

Social Educator
Social Educator.

March 1993 - July 2000

Projects

This section contains awesome projects that I've developed:

NLP classification task for triagge

NLP classification task for triagge

Case of success in classifying user tickets by applying different techniques on natural language processing

We present our case of success in classifying user tickets by applying different techniques on natural language processing. With our model, we can determine the department of the software company to which to direct a new ticket entered by a user with an accuracy greater than 90%..

Python NLP classification Machine Learning

Kaggle top ten

Kaggle top ten

Feature engineering and ensembled models for the top 10 in Kaggle “Housing Prices Competition”

We detail step by step the procedure to develop a regression model to be in the “top 10” of this global competition.

Python Kaggle Regression tasks Housing price Machine Learning

Completing Historical Temperature records with LSTM in Python

Completing Historical Temperature records with LSTM in Python

Based on the public dataset we completed the historical media daily temperature records of Azapa-Chile weather station.

Based on the public dataset we completed the historical media daily temperature records of Azapa-Chile weather station.

Python LSTM Temperature records Machine Learning

Sintep

Sintep

Software for private educations community

Full administrative software for private education institutions

Angular Web apps Association software

Th Club

Th Club

Software for cannabis clubs administration

Full adminstrative software for Cannabis Clubs

Angular Web apps Cannabis club

Mola & Blockfashion

Mola & Blockfashion

App for sustentable clothes and design's.

Full administrative software for brands and customer app.

Angular Web apps Ionic Mobile Search Engine


Awards & Certifications

  • Bussines plan for start ups - Ingenio, 2020
  • Machine Learning - Bottia, 2019
  • Django and Python - Bios, 2018
  • UML and Interoperability - 2015
  • Proyect Manager Professional - Hexa, 2014
  • GeneXus development Tools - Artech, 2012

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