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cv_clr_fr.tex
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cv_clr_fr.tex
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%!TEX TS-program = xelatex
\documentclass[]{friggeri-cv}
%\addbibresource{bibliography.bib}
%\usepackage[spanish]{babel}
%\usepackage[utf8x]{inputenc}
\mobile{06 05 68 15 56} %+33
\email{me@mr3m.me}
\homepage{www.mr3m.me}
\github{mr3m}
\linkedin{carloslopezroa}
%\stackoverflow{mr3m}{mr3m}
\begin{document}
\header{Carlos }{L\'{o}pez Roa}
{Data Scientist / Data Engineer}
% In the aside, each new line forces a line break
\begin{aside}
\section{Contact}
%\small
\makecvheader
%\textbf{Tel: } 442-212-35-88
%\textbf{M:}
%+33 060 568 1556
%+39 351 00 88 082
%\href{mailto:me@mr3m.me}{me@mr3m.me}
%\href{https://github.com/mr3m}{Github}
%\href{http://stackoverflow.com/cv/mr3m}{Stack Overflow}
%\href{https://fr.linkedin.com/in/carloslopezroa}{LinkedIn}
%\href{https://github.com/mr3m}{\includegraphics[width=6mm]{gi.png}}\href{http://stackoverflow.com/cv/mr3m}{\includegraphics[width=6mm]{so.png}}\href{https://fr.linkedin.com/in/carloslopezroa}{\includegraphics[width=6mm]{li.png}}
\section{Langues}
Espagnol / \\ Langue maternelle
Français / C1
Anglais / TOEFL
Allemand / A2
Italien / A1
\section{Programmation}
%C, C++,
Python, {\color{red}$\varheartsuit$}Scala,
R, Java,
Bash, SQL, %XML
%CSS, HTML \&
JavaScript, %, PHP
Matlab, Mathematica
%Prolog, %, Scala
%Arduino \& Processing
%Assembler, Logo
%\LaTeX{}, B\textsc{ib}\TeX{}
\section{Data science}
Optimisation convexe
Analyse factorielle
Classification
Clustering
Text Mining \& NLP
%Association Rules
Régression
Arbre de décision
Réseau de neurones
SVM
Modèle graphique
Système de recommandation
\section{Mathématiques}
Analyse réelle \& complexe
Algèbre linéaire
Théorie des graphes
%Analytical geometry
Analyse vectorielle
%Superior algebra
Équation différentielle
Équation aux dérivées partielles
Probabilité \& Statistique
Analyse fonctionnelle
Méthode des \\ éléments finis
Analyse par ondelettes
Systèmes dynamiques
\end{aside}
\section{Domaines d'intérêt}
%Data mining,
Machine Learning, Intelligence artificielle, Analyse de Big Data, Deep Learning, %Modélisation mathématique,
Cloud computing, Internet of things, Sensorgrid,
%Computer simulation, ,
Web Mining, Système embarqué
\section{Expérience}
\begin{entrylist}
\entry
{10/17- }
{\href{http://vente-privee.com}{Vente-privee.com}}
{Data Scientist}
{\textbf{Mots-clés:} Système de recommandation, Apache Spark, Cassandra, Kafka\\
\textbf{Projets:} Personnalisation de la homepage, et des emails \\
%\footnotesize
Personnalisation via des algorithmes de recommandation dans une architecture distribuée. Nettoyage des données, mise en œuvre des pipelines de données, intégration continue, orchestration de conteneurs
}
\entry
{03/17-09/17}
{\href{http://www.sncf.com/}{SNCF Mobilités}}
{Data Scientist (Stagiaire)}
{\textbf{Mots-clés:} GIS, Data Mining, Machine Learning, Deep Learning\\
\textbf{Projets:} Spatiotemporal data mining: Train delay prediction \\
%\footnotesize
Consolidation des données: nettoyage et pré-traitement.
Conception et mise en œuvre de Datawarehouse.
Régression non linéaire, apprentissage statistique et Deep Learning
}
\entry
{02/15-08/15}
{\href{http://www.dattlas.com}{Dattlas - Kio Networks}}
{Data Scientist}
{\textbf{Mots-clés:} Big Data, SAP HANA, Business Intelligence\\
\textbf{Projets:} Televisa-Izzi \\
%\footnotesize
SQL Scripting pour l'analyse OLAP et le calcul de KPI personnalisé.
Implémentation et maintenance d'un Data Warehouse dans SAP HANA avec plusieurs ETL.
Création de rapports sur les KPI personnalisés dans les appareils mobiles.
Traitement parallèle massif avec RDMS en mémoire.
}
\entry
{06/14-06/16}
{\href{http://www.prosciana.com}{Prosciana}}
{Fondateur, CTO}
{\textbf{Mots-clés:} Big Data, Cloud Computing, Internet of Things, Web Services\\
\textbf{Projets:} K13 | Alarmex | TopCar | Ultralam | Moringa | Lehvi | deconb | Britcan\\
%\footnotesize
Développement full-stack de services Web.
Support de la gestion des applications et du cycle de vie.
}
\entry
{01/14-06/14}
{\href{http://www.vintalent.com}{Vintalent Solutions}}
{Data Scientist}
{\textbf{Mots-clés:} Web Services, Data Mining\\
%\footnotesize
Structurer des données à partir de sources de données non structurées.
Mise en œuvre de services Web pour la collecte et déduplication de données
%Lifecycle management of obtained entities
}
\end{entrylist}
\section{Formation}
\begin{entrylist}
\entry
{09/16-02/17}
{Master \href{http://www.em-dmkm.eu/}
{\normalfont{Data Mining and Knowledge Management}}}
{\href{http://www.uniupo.it/}{Università Piemonte Orientale}, AL, IT}
% {}
{\textbf{Spécialité:} Relational Data Mining
}
\entry
{09/15-08/16}
{Master \href{http://www.em-dmkm.eu/}
{\normalfont{Data Mining and Knowledge Management}}}
{\href{http://www.univ-lyon2.fr/}{Université Lumière Lyon 2}, Lyon, FR}
{\textbf{Spécialité:} Data Mining and Complex System Modelling\\ mention: tr\`{e}s bien}
\entry
{10/09-04/14}
{Licence \href{http://www.fata.unam.mx/tecnologia}
{\normalfont{Technology}}}
{\href{http://www.fata.unam.mx/}{Center of applied Physics and advanced Technology}, \href{http://www.unam.mx/}{UNAM}, Qro, MX}
{\href{https://dl.dropboxusercontent.com/u/2115508/Tesis.pdf}{\emph{Bubble dynamics subject to novel shockwave: High speed video}}\\
summa cum laude, top 3 best GPA 2011, 2012%, P.L. 08807255
}
\end{entrylist}
\end{document}
%\entry
%{01/13-07/13}
%{National Autonomous University of Mexico, Campus Juriquilla}
%{Teacher assistant}
%{Classical Mechanics, Bachelor, \textbf{Main Professor:} Ph.D. Miguel de Icaza Herrera\\
%Electronics, Bachelor, \textbf{Main Professor:} M.Sc. Francisco Fern\'{a}ndez Escobar}
%{\textbf{Keywords:} Classical Mechanics, Electronics}
%\entry
%{%02/13
%08/12-07/13}
%{G\&C Consultor\'{i}a}
%{Data Scientist}
%{\textbf{Project Manager:} Q.F.B. Magali Aguilar Ort\'{i}z}
%{\textbf{Keywords:} Web Services, Statistical Analysis\\
%\textbf{Projects:} UAQ Chemistry | UAQ Nutrition | UAQ Engineering | UAQ Psychology \\
%\footnotesize
% Data collection using web service implementation.
%Pre-processing and statistical analysis of the data.
%Summarised presentation in custom made KPIs and dashboards.
%}
%\entry
%{08/12-12/12}
%{G\&C Consultor\'{i}a}
%{Statistical programmer}
%{\textbf{Project Manager:} M.Sc. Mar\'{i}a de los \'{A}ngeles Escamilla}
%\entry
%{08/11-12/11}
%{G\&C Consultor\'{i}a}
%{Graphic developer}
%{\textbf{Project Manager:} M.Sc. Mar\'{i}a de los \'{A}ngeles Escamilla}
%
%\newpage
%\section{technical skills}
%Big Data Analytics using Apache \href{http://hadoop.apache.org/}{Hadoop}, Apache \href{http://spark.apache.org/}{Spark} and \href{https://hana.sap.com/}{SAP HANA}.
%In memory database management using Key-Value data stores in \href{http://redis.io/}{Redis}.
%Graph databases modeling and analysis using \href{https://neo4j.com/}{Neo4j}
%Scalable, full-text information retrieval using Apache \href{http://lucene.apache.org/solr/}{Solr}
%Deep Learning neural networks using \href{https://www.tensorflow.org/}{Tensorflow}
%Expertise managing cloud instances and services in \href{http://aws.amazon.com/es/}{Amazon Web Services}
%: EC2, RDS, S3, DynamoDB, EMR, SES
%Extensive ability in mathematical modelling, numerical simulations and computer assisted symbolic calculus.
%Analogical electronics abilities. Microcontroller programming and implementation.
%Embedded Systems: Software and hardware development with Microchip PIC family, Arduino platform, Raspberry Pi and Texas Instrument Launchpad
%Most common productivity tools on Windows, OS X, Linux desktop and Linux servers
%\href{http://www.mathworks.com/products/matlab/}{\textsc{Matlab.}}
%Experience: Linear algebra, Fourier analysis, non-linear numerical simulations, numerical methods, statistics, programming.
%\href{http://www.wolfram.com/mathematica/}{\textsc{Mathematica.}}
%Experience: Statistics, data visualization, functional analysis, differential geometry, complex analysis, linear algebra, calculus, Wavelet analysis and hardware data streaming
%
%\section{extra courses}
%\begin{itemize}
%\item Introduction to Databases - Stanford University - Coursera
%\item Data Science Specialization - Johns Hopkins University - Coursera
%\item R Programming - Johns Hopkins University - Coursera
%\item Machine Learning - Stanford University - Cousera
%\item Machine Learning Foundations - University of Washington - Coursera
%\item Web Application Architectures - The University of New Mexico - Coursera
%\item Startup Engineering - Stanford University - Coursera
%\item Web Intelligence and Big Data - Indian Institute of Technology Delhi - Cousera
%\item II Multidisciplinary mathematical Workshop on applications to other sciences, Mathematics Institute, UNAM, Juriquilla, Quer\'{e}taro, 24 hours, 2014
%\item IX Mathematics Summer School, Mathematics Institute, UNAM, Cuernavaca, Morelos. 40 hours, June 2012
%\item XXVII V\'{i}ctor Neumann-Lara Colloquium in Graph and Combinatorial Theory and its Applications, Tlaxcala, Tlax., 32 hours, March 2012
%\item Mathematics Summer School in Quer\'{e}taro, Center for Innovation in Mathematics, Quer\'{e}taro, Qro, 54 hours, June 2011
%\end{itemize}
%\section{social service}
%Research internship in the Shockwave Laboratory in CFATA-UNAM, 520 hrs.
%2014 Gustavo Baz Prada award for the most impacting social service
%\section{publications}
%\begin{itemize}
%\item L\'{o}pez-Roa, C., Perez, L.E., Pedroza, J.C., Icaza, M. de, Castano, V.M.: \href{http://dl.dropbox.com/u/2115508/SRH.pdf}{\emph{Mitos y realidades sobre la situaci\'{o}n de los recursos h\'{i}dricos}}, (2010). A.M Newspaper., Section \emph{Ciencia hoy}, April 24, 2010.
%\item Perez-Margay, L.E., L\'{o}pez-Roa, C., Pedroza, J.C., Icaza, M. de, Castano, V.M.: \emph{Optimizaci\'{o}n y aprovechamiento de los recursos h\'{i}dricos.} \href{http://tecnologia.fata.unam.mx/sites/tecnologia.fata.unam.mx/files/coloquio/MC05.pdf}{Memorias del V Coloquio en Tecnolog\'{i}a}. p. 207. Universidad Nacional Aut\'{o}noma de M\'{e}xico, (2010). ISBN: 978-607-02-1439-4
%\item L\'{o}pez-Roa, C., Arag\'{o}n, J.L.: \emph{Programaci\'{o}n de \'{A}lgebras de Clifford en Mathematica}. \href{http://dl.dropboxusercontent.com/u/2115508/COT5.pdf}{Memorias del sexto coloquio de Tecnolog\'{i}a}. Universidad Nacional Aut\'{o}noma de M\'{e}xico (2012). ISBN: 978-607-02-3655-6
%\item L\'{o}pez-Roa, C., Vargas, A.: \emph{Control robusto de biorreactores basado en modos deslizantes.} \href{https://dl.dropboxusercontent.com/u/2115508/REX6CLR.pdf}{Memorias del octavo coloquio de Tecnolog\'{i}a.} Universidad Nacional Aut\'{o}noma de M\'{e}xico (2012). ISBN: 978-607-02-3654-9
%\item L\'{o}pez-Roa, C., Santamar\'{i}a-Holek, I.: \emph{An\'{a}lisis din\'{a}mico del oscilador salino}. \href{https://dl.dropboxusercontent.com/u/2115508/REX7.pdf}{Memorias del noveno coloquio de Tecnolog\'{i}a}. p. 105. Universidad Nacional Aut\'{o}noma de M\'{e}xico. (2012). ISBN: 978-607-02-3943-4
%\item C. L\'{o}pez-Roa, A.Vargas,G. Buitr\'{o}n, \href{http://dl.dropbox.com/u/2115508/COT4.5.pdf}{\emph{Implementaci\'{o}n pr\'{a}ctica de un control \'{o}ptimo en biorreactores aerobios}}
%
%\item C.L\'{o}pez-Roa, A. Vargas, \href{http://dl.dropbox.com/u/2115508/COT4.pdf}{\emph{Observadores de estado para estimar tasas de reacci\'{o}n en biorreactores aerobios}},
%\end{itemize}