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cv_clr_eng.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}
{Senior Data Scientist | ML 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{languages}
Spanish / Native
French / C1
English / TOEFL
German / A2
Italian / A1
\section{programming}
%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}
Convex optimization
Factorial Analysis
Classification
Clustering
Text Mining \& NLP
%Association Rules
Regression
Decision Trees
Neural Networks
Support Vector Machines
Probabilistic Graphical Models
Recommendation Systems
\section{mathematics}
Complex \& real analysis
Linear algebra
Graph Theory
%Analytical geometry
Vector calculus
%Superior algebra
Ordinary \& Partial Differential Equations
Statistics \& Probability
Functional analysis
Finite element analysis
Wavelet Analysis
Dynamical Systems
\end{aside}
\section{Resumé}
Senior Data Scientist with more than 3 years of experience. Experience with Big Data in the Spark Framework using Scala, ingesting real time traffic from Apache Kafka and reading and writing to a Apache Cassandra Database. Further modeling done in Python's scikit learn and Tensorflow for Deep Neural Networks.% I write industrial ready code from the first try incorporating it in Continuous integration pipelines with testing and deployment via docker and container orchestration.
%I have also experience writing C# code for asynchronous multithreading tasks.
%I know the mathematical basis of Machine learning and this helps me better implement statistical models.
%I work in an agile environment.
%I have achieved the steady state in my current role, that is, no new developments and only maintenance. I'm searching for new projects.
%6 months time to market of recommender system from scratch until production. 2% lift in turnover.
%Mention "cum laude" in master thesis for train delay prediction using deep learning.
%Consulting experience using SAP HANA for machine learning.
%Entrepreneur working with Internet of Things solutions.
%Summa cum laude in bachelor thesis for high speed video analysis in frequency space.
%Data mining,
%Machine Learning, Artificial Intelligence, Big Data analytics, Deep Learning, %Mathematical modeling,
%Cloud computing, Internet of things, Sensorgrid, %Computer simulation, ,
%Web Mining, Embedded systems
\section{experience}
\begin{entrylist}
\entry
{05/19-Today}
{\href{https://www.keyrus.com/}{Keyrus}}
{Senior Data Scientist}
{\textbf{Keywords:} Consultant Data Science\\
\textbf{Projects:} Agence de Biomedecine, Economie d'Energie, Minister de l'interieur, Direction Générale des Finances Publiques
%\footnotesize
}
\entry
{10/17-04/19}
{\href{http://vente-privee.com}{Vente-privee.com}}
{Data Scientist}
{\textbf{Keywords:} Recommender systems, Apache Spark, Cassandra, Kafka, NLP\\
\textbf{Projects:} Homepage and email personalisation \\
\footnotesize
Real-time personalization using recommendation system algorithms in distributed architecture. 6 months time to market of recommender system from scratch until production. 2\% lift in turnover. 6 Millions emails personalized every day, 3\% lift on click rate
}
\entry
{03/17-09/17}
{\href{http://www.sncf.com/}{Société nationale des chemins de fer français (SNCF)}}
{Data Scientist}
{\textbf{Keywords:} GIS, Data Mining, Machine Learning, Deep Learning\\
\textbf{Projects:} Spatiotemporal data mining: Train delay prediction \\
\footnotesize
%Data consolidation trough cleaning and preprocessing.
Spatiotemporal Datawarehouse (GIS) design and implementation.
Non linear regression, statistical learning and Deep Learning
}
\entry
{02/15-08/15}
{\href{http://www.dattlas.com}{Dattlas - Kio Networks}}
{Data Scientist}
{\textbf{Keywords:} Big Data, SAP HANA, Business Intelligence\\
\textbf{Projects:} Televisa-Izzi \\
\footnotesize
SQL Scripting for OLAP analysis and custom made KPI calculation.
Implementation and support of a Data Warehouse in SAP HANA with several ETLs.
Reporting of custom made KPIs in mobile devices.
CHURN prediction using Hidden Markov Model
}
\entry
{06/14-02/15}
{\href{http://www.prosciana.com}{Prosciana}}
{Founder, CTO}
{\textbf{Keywords:} Big Data, Cloud Computing, Internet of Things, Web Services\\
\textbf{Projects:} K13 | Alarmex | TopCar | Ultralam | Moringa | Lehvi | deconb | Britcan\\
\footnotesize
Full stack development of web services for several stake-holders. Data ingestion of distributed IoT sensors.
Support of application and life cycle management.
}
\entry
{01/14-06/14}
{\href{http://www.vintalent.com}{Vintalent Solutions}}
{Data Scientist}
{\textbf{Keywords:} Web Services, Data Mining\\
\footnotesize
Structuring data from unstructured data sources.
Data collection and de-duplication using web service implementation.
%Lifecycle management of obtained entities
}
\end{entrylist}
\section{education}
\begin{entrylist}
\entry
{09/16-02/17}
{M.Sc. \href{http://www.em-dmkm.eu/}
{\normalfont{Data Mining and Knowledge Management}}}
{\href{http://www.uniupo.it/}{Università Piemonte Orientale}, AL, IT}
% {}
{\textbf{Speciality:} Relational Data Mining
}
\entry
{09/15-08/16}
{M.Sc. \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{Speciality:} Data Mining and Complex System Modelling \\ cum laude}
\entry
{10/09-04/14}
{B.Sc. \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}
%
%\end{entrylist}
%\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}