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Chiara Forresi

Phd in Data Science and Computation | Data Engineer at Agile Lab

Education

PhD in Data Science and Computation

University of Bologna, Cesena, Italy
2020 - 2025

MSc in Computer Science and Engineering (110/110 cum Laude)

University of Bologna, Cesena, Italy
2018 - 2020

BSc in Computer Science and Engineering (110/110 cum Laude)

University of Bologna, Cesena, Italy
2015 - 2018

Languages

  • Italian (Native)
  • English (B2 - Certified by University of Bologna)
  • French (A1)

Interests

  • Racket sports (Tennis, Beach Tennis, Padel)
  • Get in touch with the nature
  • Cooking
  • Indipendent music

Career Profile

I am currently working as a Data Engineer at Agile Lab. I earned a PhD in Data Science and Computation at the University of Bologna, where I specialized in data management and analysis in big data ecosystems.

Fields of interest: Data Engineering, Data Analytics, Business Intelligence

Experiences

Data Engineer

March 2025 - today
Agile Lab

Researcher BIG @UNIBO

November 2020 - January 2025
University of Bologna Cesena, Italy

At the Business Intelligence Group, I focused on querying heterogeneous static and streaming data within a data analysis platform. This involved the entire process, including the formalization of concepts, the definition of benchmark datasets, the implementation of solutions, and rigorous testing to evaluate their effectiveness. I also contributed to a a real-time data platform for monitoring and analyzing the brown marmorated stink bug population in Northern Italy, accessible at Cimice.net. My work also included developing and maintaining a big data platform leveraging Docker Swarm.

Teaching tutor of Principles of Informatic

A.Y. 2022/23 and 2023/24
University of Bologna

Lecturer of "NoSQL Databases"

January 2023 - March 2023 and April 2024 - May 2024
FITSTIC

Visiting Researcher

September 2023 - December 2023 (3 months)
Vrije Universiteit Brussel (VUB) @SOFT LAB

I optimized query plans in multistores from a theoretical perspective with the Big Data Processing (BDP) group, under the supervision of Prof. Bas Ketsman.

Reviewer for peer-review conferences and journals

2022 - 2025

150-hour part time (Switchboard activity and support to the Didactic Secretariat)

2019
ERGO

Assistant at University study room

2016 - 2018
Associazione S.P.R.I.Te., Cesena

Teacher and Tutor of Digital Literacy Courses (Pane e Internet project promoted by Emilia Romagna Region)

2016 - 2018
Associazione S.P.R.I.Te., Cesena

Curricular internship

2017
University of Bologna Cesena, Italy

Focused on enriching spatial trajectories with semantic data from open and third-party sources.

Skills

Soft skills

good listener, comprehension of problem, communications, synthesis and mediation skills. Sense of responsibility, leadership, coordination of human resources, good team-leading.

Professional skills

  • Big Data management and analysis:
    • Distributed filsystems: HDFS.
    • Distributed databases: MongoDB, Cassandra, HBase.
    • Distributed execution frameworks: Spark, Databricks.
    • Ecosystem Management: Cloudera CDP/CDH.
    • System orchestration and administration: Oozie, Hue, Airflow.
    • Cloud platforms: AWS, Azure.
    • Virtualization and containerization: Docker, Kubernetes.
  • Business Intelligence and Data Mining:
    • Conceptual modeling: Indyco, StarUML.
    • OLAP anaysis and visualization tools: Tableau, Matplotlib, Seaborn, PowerBI.
    • Data mining tools: Weka, scikit-learn, MLlib.
  • Database Managment Systems:
    • Relational DBMSs: Oracle, PostgreSQL.
    • NoSQL DBMSs: MongoDB, Cassandra, HBase, Redis, Neo4J.
    • GIS systems: Oracle Spatial & Graph, PostGIS, GeoSpark, QGIS, Geoserver.
  • Computer Programming:
    • Object Oriented design, distributed systems, concurrent programming, functional and logical programming.
    • Programming Languages: Java, Scala, Python, Kotlin, R, Matlab, C, C#, PLSQL, SPARQL, SQL.
    • Software engineering: Development techniques: Git; Build systems: Gradle, SBT, Maven; CI: TravisCI.
  • Web Development:
    • Web servers: Apache Tomcat, NGNIX.
    • Content Managment Systems: Joomla, Wordpress.
    • Charts and maps: D3, OpenLayers.
    • Web programming languages: CSS, HTML, JavaScript, Node, Vue, PHP.
    • Markup languages: XML, HTML, Markdown.
  • Operating Systems: Windows, Linux and Mac OS installation and configuration, good command of their applications.
  • Hardware: systems assembling, good knowledge of Internet and computer network.

Driving license

B.

Publications

  • ASSO: the Automated Schemaless Stream Overseer
    • Forresi C., Francia M., Gallinucci E., Golfarelli M.
    28th International Conference on Extending Database Technology (EDBT 2025)
  • A data platform for real-time monitoring and analysis of the brown marmorated stink bug in Northern Italy
    • Forresi C., Gallinucci E., Golfarelli M., Maistrello L., Preti M., Vaccari G.
    Ecological Informatics (2024)
  • Colossal Trajectory Mining
    • Forresi C., Francia M., Gallinucci E., Golfarelli M., Pasini M.
    32st Symposium on Advanced Database Systems (SEBD 2024)
  • Streaming Approach to Schema Profiling
    • Forresi C., Francia M., Gallinucci E., Golfarelli M.
    Advances in Databases and Information Systems (ADBIS 2023)
  • On the optimization of query plans in multistores
    • Forresi C., Francia M., Gallinucci E., Golfarelli M.
    31st Symposium on Advanced Database Systems (SEBD 2023)
  • Cost-based Optimization of Multistore Query Plans
    • Forresi C., Francia M., Gallinucci E., Golfarelli M.
    Information Systems Frontiers (2022)
  • Optimizing Execution Plans in a Multistore
    • Forresi C., Francia M., Gallinucci E., Golfarelli M.
    Advances in Databases and Information Systems (ADBIS 2021)
  • A dataspace-based framework for OLAP analyses in a high-variety multistore
    • Forresi C., Gallinucci E., Golfarelli M., Ben Hamadou H.
    The VLDB Journal (2021)

    Achievements

    • On July 2025, I have successfully defended my PhD thesis titled TECHNIQUES AND METHODOLOGIES TO SUPPORT DATA MANAGEMENT AND ANALYSIS IN BIG DATA ECOSYSTEMS.
    • On August 2024, volunteered at the Transumare Festival.
    • On September 2023, presented “Streaming Approach to Schema Profiling” at ADBIS conference, Barcelona.
    • On July 2023, presented “On the optimization of query plans in multistores” at SEBD conference, Padua.
    • On August 2021, presented “Optimizing Execution Plans in a Multistore” at ADBIS conference, Estonia.
    • During the PhD, MS and BS, acted as Student Representative on the Degree Course Council.
    • From February 2019 to 2020, served as Tutor of the BS Computer Science and Engineering.
    • In October 2020, earned a Master’s Degree in Computer Science and Engineering; thesis: “Un framework per l’analisi di big data con elevata eterogeneità all’interno di multistore”.
    • In July 2018, earned a Bachelor’s Degree in Computer Science and Engineering; thesis: “Progettazione di una piattaforma per l’analisi dei dati di traiettoria: un caso di studi sui dati di navigazione”.
    • From October 2015 to 2020, was an active member of Student Association S.P.R.I.Te., serving as Secretary from November 2016 to January 2019.