S Y S T E M S E N G I N E E R

JULIO AUGUSTO SPAIRANI

Simplifying everyday job and decision making through information tools and data analysis.

1771, Av Cramer. 9th floor apartment B. Buenos Aires City, Argentina.

+54-9-11-5102-9266 jspairani@gmail.com January 24, 1984

L A N G U A G E S

F O R M A L E D U C AT I O N

Maestría en la explotación de datos y descubrimiento del conocimiento (Master’s degree in Data Mining and Knowledge Discovery)2015 - present (tall subjects passed in february 2017, thesis in progress)Universidad de Buenos Aires - Facultad de Ciencias Exactas y Naturaleshttp://datamining.dc.uba.ar/datamining/

Posgrado en gestión de proyectos(Postgraduate course in Project Management )2012 ( 6 months )Universidad Tecnológica Nacional - Regional Buenos Aireshttp://www.cursospm.com.ar/capacitacion-project-management/posgrado-en-gestion-de-proyectos

Ingeniería en Sistemas [Bachelor's degree]( Systems Engineering Degree )March 2002 – December 2006 ( 5 years )Analista de Sistemas ( Systems analyst ) [ intermediate degree ]March 2002 – December 2004 ( 3 years )Universidad de la Marina Mercantehttps://www.udemm.edu.ar/carreras/ingenieria-en-sistemas/

High School degree with Accounting Specialization1997 – 2001 ( 5 years )Instituto San Románhttp://www.sanroman.esc.edu.ar/

Spanish (Native) English (Professional working proficiency) French (Limited working proficiency)

1/4Jul io Augusto Spairani 2018-12-15

T E C H N I C A L K N O W L E D G E

C O U R S E A P P L I C AT I O N

Give support for decision making and help process optimization through working with data. Some use cases: Ticket sales analysis; voting analysis; product analysis; sentiment analysis.

Search for questions or problems; collect relevant data about a topic; explore existing data; interpret results of findings; show relations on graphic and numeric way through statistical summaries and simple regressions;Model and predict categorical or numeric variables through Multiple and logistic regression: visualize, interpret results of models; Population sampling; P-values; confidence intervals.Some use cases: Any analysis sees the benefits of statistical knowledge as it helps transform data into information through an interpretation for the specific use case point of view.

Build Shiny web applications for data mining and data exploration tools; some use cases can be seen on:https://shiny.rstudio.com/gallery/

Extract data from web pages and web apis.

Import spatial data in raster and vector formats. Prepare map layers for spatial analysis, Analize one or multiple layers. Use case: evaluate whether the average canopy density by NYC neighborhood is correlated with the number of trees by neighborhood.

Analyze networks (graphs); Network structures; Search for relations inside a network.

Create and evaluate machine learning models. Some use cases: Cost optimization; spam identification; recommender systems; fraud detection; market segmentation.

Machine Learning by Stanford University on Coursera [ 2017 ] at Coursera; Certified on December 20, 2017https://www.coursera.org/account/accomplishments/certificate/CUEFTKPFUCFC

Skill track: Data analyst with R[ 2018 ] at Datacamp:https://www.datacamp.com/tracks/data-analyst-with-r

Skill Track: Intro to Statistics with R Track [ 2018 ] at Datacamp:https://www.datacamp.com/tracks/statistics-with-r

Building Web Applications in R with Shiny: Case Studies Course[ 2018 ] at Datacamp:https://www.datacamp.com/courses/building-web-applications-in-r-with-shiny

Working with Web Data in R Course [ 2018 ] at Datacamp:https://www.datacamp.com/courses/working-with-web-data-in-r

Spatial Analysis in R with sf and raster Course [ 2018 ] at Datacamp:https://www.datacamp.com/courses/spatial-analysis-in-r-with-sf-and-raster

Network Analysis in R Course [ 2018 ] at Datacamp:https://www.datacamp.com/courses/network-analysis-in-r

2/4Jul io Augusto Spairani 2018-12-15

Career track: Data Scientist with R [ 2018 ] en Datacamp:https://www.datacamp.com/tracks/data-scientist-with-r

Analyze and interpret complex data through mixing statistics, Machine learning and programming.Some use cases: Market segmentation, Loan approval, predict donations with fundraising data.

Program with R; Import Simple and complex data; Data cleaning; Work with character strings; Develop R functions; Object oriented programming with R.

Career Track: R Programmer ( online )[ 2017 ] at Datacamp:https://www.datacamp.com/tracks/r-programmer

Johns Hopkins University - DataScience toolbox (online)[ 2014 ] at Coursera:https://www.coursera.org/learn/data-scientists-tools

Know general concepts, install & use the following tools: R, Rstudio, Git, Github, Markdown.

Developing Applications for the Java EE 6 Platform (oracle - fj310)[ 2013 ] at ITCollagehttp://www.itcollege.com.ar/

Develop and maintain web applications created with JEE6 framework.

Advanced Test Driven Development [ 2014 ] at 10 pineshttp://www.10pines.com/tr

Apply best practices of test driven development. Upgrade the quality of developed software tools.

Arquitecturas de Software (online)(Software Architectures)[ 2010 ] at UTN - BAhttp://www.sceu.frba.utn.edu.ar

Understand general concepts of software architectures; Evaluate technical quality of architectures; Analize different application implicancies; Implement different architectures.

Object-Oriented Analysis and Design Using UML sun - oo226[ ~2005 ] at UTN - BAhttp://www.sceu.frba.utn.edu.ar

Analize & Design through Unified Modelling Language.

O T H E R K N O W L E D G E

Basic 3D modelling with Blender.https://www.blender.org/

3D Modelling with Blender - Level 1[ 2012 ] at UTN - BAhttp://www.sceu.frba.utn.edu.ar

Get better at communication skills.Oratory course[ 2007 ] at UCEMA

Johns Hopkins University - R Programming (online) [ 2014 ] at Coursera:https://www.coursera.org/learn/r-programming

Describe with general aspects of R language; Practical statistical computing with common libraries; import and clean data to do some statistical analysis.

3/4Jul io Augusto Spairani 2018-12-15

P U B L I C AT I O N S

Latin R 2018http://latin-r.com

Poster “Diseño e implementación de una herramienta para análisis de redes de coautoría”https://www.researchgate.net/publication/327253580_Diseno_e_implementacion_de_una_herramienta_para_analisis_de_redes_de_coautoria

W O R K E X P E R I E N C E

TA S K S A C H I E V E M E N T S

Superintendencia de Seguros de la Nación [ SSN ] ( government- insurance )Software Engineer - Developer - Team leaderDecember 2009 – July 2018

• Report performance improvement.• Large size project code refactoring.• Legacy technologies migration & upgrading.• Application integration through web services.• Production deployment semi automation ( maven - batch ).• Big participation on important projects: Sinensup, Login, Juicios y Mediaciones, Sinensup Reaseguros, Beneficiario final , Aero and others.• In-house libraries development.• Software development process improvement.• Code metrics implementation ( sonarqube - jenkins - maven ).• In-house Code repository implementation ( artifactory ).• In-house data server implementation ( rserver-shiny ).• Open data repository ( ckan - portal andino ).• Issue visualization tool ( in R , using Redmine Database ).• Data crossing & validation tool for error diagnosis.• Documentation improvement.• Redmine integration with LDAP & SVN, support & configuration.• Help other areas to use or implement informatic tools or applications.

• Coordinate java development team.• Peer mentoring.• Web applications: requirement gathering, creation, maintenance, and upgrading.• Applications implementation, configuration and support.• Data extraction, cleaning, transformation and loading.• Development of data tools: Cross data, Verify data, Visualize data.

TA S K S A C H I E V E M E N T S

Sofrecom Argentina SA ( private - software )Software developer - at Peugeot SA ( private - automotive )June 2008 – August 2009

• Participate in car production reassignment module.• Participate in cross-applications calendar.• Participate in data migration process.

• Develop new functionalities to existent applications.

TA S K S A C H I E V E M E N T S

Consejo Nacional de Investigaciones Científicas y Técnicas [ CONICET ] ( government - science)Software developer - WebmasterJanuary 2005 – April 2008

• CMS development.• Improve SQL searches at website.

• Web applications development• Publications & maintenance, official website

4/4Jul io Augusto Spairani 2018-12-15