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Matteo Manca

Data Scientist

NTENT

Biography

I am a data scientist, with background in Computer Science, and several years of experience working on data-driven solutions in cross-functional teams. I have experience collecting, analysing, mining large datasets and implementing machine learning models. I thrive on challenges and I like to use data to support decision making and to solve real world problems. I taught data science related courses in different masters and I am program committee member in some of the main Data Mining conferences. I obtained my PhD in computer science from the University of Cagliari (IT), with a thesis on the study and implementation of recommendation approaches for the social media domain.

Interests

  • Data Mining
  • Recommender systems
  • Machine learning
  • Ranking algorithms

Education

  • PhD in Computer Science, 2014

    University of Cagliary (Italy)

  • MD in Computer Science, 2009

    University of Cagliary (Italy)

  • BSc in Computer Science, 2007

    University of Cagliary (Italy)

Skills

Data Science

  • Machine Learning Frameworks (Scikit-learn, H2O)
  • Deep Learning Frameworks (Keras)
  • Data Analysis and Visualization Libraries (Pandas, NumPy, SciPy, Matplotlib, Seaborn, GGplot)
  • Relational Databases and Big Data (Mysql, PostgreSQL, Sqlite, PySpark)
  • Geographical Analysis Tools (GeoPandas, Folium, Leaflet, Carto)

Programming

  • Python (libraries scikit-learn, Pandas, Numpy, etc)
  • Pyspark, R, SAS, SQL (mysql, Postgres, SQLite) bash scripting
  • Knowledge of Scala, Matlab, C, C++, Objective-C, Java, Javascript (JQuery), PHP, HTML and CSS LaTeX

Soft Skills

  • communicate results (technical and non-technical audiences)
  • Problem-solving attitude
  • Willingness to learn and master newt echnologies and techniques
  • Ability to work independently and in a team.
  • Project management and team leading.

Recent Experience

 
 
 
 
 

Senior Data Scientist

NTENT

Dec 2019 – Present Barcelona (Spain)
Responsibilities include:

  • Analysis of digital trace data and query logs
  • Application of data-mining, computational methods and implementation of machine learning models.
 
 
 
 
 

Senior Research Data Scientist

Eurecat, Technology Center of Catalonia

Feb 2019 – Dec 2019 Barcelona (Spain)
Responsibilities include:

  • Principal Investigator and Work package leader in European Projects.
  • Participation in Grant proposals (e.g., H2020).
  • Main Data Scientist in multiple private and public projects.
  • Application of data mining and computational methods to digital trace data.
  • Implementation of predictive models.
 
 
 
 
 

Data Scientist

Zurich Spain

Feb 2018 – Feb 2019 Barcelona (Spain)
  • Data analysis to quantify risk and support business decision making.
  • Implementation and validation of predictive and statistical models.
 
 
 
 
 

Research Data Scientist

Eurecat, Technology Center of Catalonia

Sep 2015 – Jan 2018 Barcelona (Spain)
  • Participation in European Projects.
  • Applying data mining and computation methods to digital trace data.
  • Implementing predictive models.

Talks

Tutorial on Data Analysis of Mobility Behaviour Data

Methods and Tools to Analise Mobility Data
Sep 18, 2019 12:00 AM

Gender inequalities in political participation a study of the 2017 UK general elections on Twitter.

we analyze a dataset of 4.5 million tweets related to the UK general elections of 2017 to investigate the gender composition of the …
Nov 17, 2017 3:00 PM — 3:00 PM London

Urban Patterns and Citizen Participation Geographical Data Analysis of Decidim Barcelona.

I presented our study about Decidim Barcelona, i.e. a participatory process implemented by the city council of Barcelona to enroll the …
Nov 17, 2017 3:00 PM — 3:00 PM London

From Social Science to Computational Social Science, Is Web Data the Key to a More Effective Analysis?

Opportunities, challenges and open issues related to the use of new sources of data in Computational Social Science.
Nov 15, 2017 3:00 PM — 3:00 PM London

Recent Publications

All Publications

Matching User Preferences and Behavior for Mobility
Silvia Basile, Cristian Consonni, Matteo Manca, Ludovico Boratto
Characterizing user behavior in journey planning.
Ludovico Boratto, Matteo Manca, Giuseppe Lugano, Marian Gogola
Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era
Ludovico Boratto, Salvatore Carta, Andreas Kaltenbrunner, Matteo Manca
PDF
See all publications

Activities

Tutorial - Data Sources and Techniques to Mine Human Mobility Patterns.
Guest editor of the Special issue on “Behavioral-Data Mining in Information Systems and the Big Data Era”
PC member of the of MIDAS-2019, MIDAS-2018, MIDAS-2017 (Workshop on MIning DAta for financial applications)
PC member of the of ICWSM-18, ICWSM-17, ICWSM-16 (International AAAI Conference on Web and Social Media).
PC member of the of RecSys2019 (ACM Conference on Recommender Systems).
See all

Awards

  • Honorable mention at The Web Conference 2018 (WWW) with the demo paper “BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration”.
  • Best paper award runner up at the 3rd International Conference on Data Management Technologies and Applications (DATA 2014) with the paper “Mining user behavior in a social bookmarking system – A delicious friend recommender system”.
  • Best paper award at the 3rd International Conference on Advances in Information Mining and Management (IMMM 2013) with the paper “Producing friend recommendations in a social bookmarking system by mining users content”.