Jose Pablo Alberto Andreotti

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About

Main focus on Machine Learning, Natural Language Processing, and Distributed…

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Experience & Education

  • John Snow Labs

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Licenses & Certifications

Publications

Courses

  • C++ Certification Course.

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  • Digital Signal Processing, Paolo Prandoni and Martin Vetterli, Ecole Polytechnique Federale de Lausanne, 2013.

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  • Functional Programming Principles in Scala, Martin Odersky. Ecole Polytechnique Fed- erale de Lausanne, December of 2013.

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  • High Performance Computing: Models, Methods and Means , first semester 2010.

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  • Image and video processing: From Mars to Hollywood with a stop at the hospital, Guillermo Sapiro, Duke University, first semester of 2013.

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  • Introduction to Radar Signal Processing, Msc Oscar Bria, INVAP, second semester of 2009.

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  • Machine Learning & Computer Vision. Famaf, 2016

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  • Machine Learning over Big Datasets(Aprendizaje Automático sobre Grandes Volúmenes de Datos, http://aprendizajengrande.net/). 2014.

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  • Machine Learning, Andrew Ng, Stanford University, first semester of 2012.

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  • Natural Language Processing and Text Mining. 2015.

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  • Performance and Scaling in E-Commerce Systems WS, Alex Buchmann, second semester of 2008.

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  • The Semantic Web, PhD Jorge Cardoso, SAP Research Germany, first semester of 2009.

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Projects

  • SAMI

    OS agnostic, open, and limited only by the wildest reaches of your imagination. All data. All devices. Even ones that don’t exist yet.

    See project

  • DeepLearnToolbox

    - Present

    I contribute to this open source project with an example of Spoken Language Classifications using Convolutional Neural Networks and adding other features to the toolbox.

    See project

  • SimpleSpeechProcessing

    Simple framework for extracting features from a speech signal, it handles normalization, pre-emphasis, filtering and provides you with vectors containing pitch, formants, MFCCs, and delta features.
    Useful for teaching yourself speech processing.

    See project

  • UNCA

    UNCA is a graph processing database which supports queries over very large datasets. It's built using Scala and Akka technologies and applied to a wide variety of problems, from Recommendations to Linguistics.

  • CAC middleware

    - Present

    CAC middleware is Intel's engine to provide applications with context information. It provides transparent access to context information such as physical sensor information(gps, light, temperature) or soft sensors(weather, calendar, etc).

  • Context Sensing

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    Intel Context Sensing SDK is an Android library that helps you easily incorporate services and context aware capabilities in your Android applications.

    Other creators
    See project

  • Decision Trees learning algorithms.

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    This is an implementation of decision tree learning algorithms and rule pruning.

    See project

Honors & Awards

  • Grant earned for the completion of the Thesis Project.

    Given by the Science Agency of Córdoba, 2006.

  • Distinction to the best average grade.

    Given by the College of Engineering of Córdoba, 2007.

Test Scores

  • TOEFL iBT.

    Score: 109/120

  • TOEFL iBT.

    Score: 110/120

Languages

  • German

    Limited working proficiency

  • Italian

    Professional working proficiency

  • English

    Native or bilingual proficiency

  • Spanish

    Native or bilingual proficiency

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