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Nunzia Squicciarini

Nunzia Squicciarini

Research Fellow

Followers of Nunzia Squicciarini728 followers
location of Nunzia SquicciariniPisa, Tuscany, Italy

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  • Timeline

  • About me

    Senior Data Scientist, NLP, Predictive Modeling, R&D

  • Education

    • Università di Pisa

      -
      Master of Science - MS Management Engineering 108/110

      Main courses: Statistics and Operational Research, Business Process Management, Finance, Quality Management, Information Systems Management, Supply-Chain Management, Innovation Management, Marketing, Product and Process Design and DevelopmentFinal dissertation: "Prediction of ED waiting times: a Data-Mining approach"Extraction of patient-related characteristics and queue-based predictors from Electronic Medical Records of an Emergency Department and application of Machine Learning… Show more Main courses: Statistics and Operational Research, Business Process Management, Finance, Quality Management, Information Systems Management, Supply-Chain Management, Innovation Management, Marketing, Product and Process Design and DevelopmentFinal dissertation: "Prediction of ED waiting times: a Data-Mining approach"Extraction of patient-related characteristics and queue-based predictors from Electronic Medical Records of an Emergency Department and application of Machine Learning algorithms to build a robust waiting time prediction model. Show less

    • Università di Pisa

      2019 -
      Engineering licence

      Passed the government exam and licensed as industrial engineer

    • Università di Pisa

      2019 - 2020
      Post-graduate Specialization Course Big Data Analytics and Social Mining

      Main Subjects: data mining and machine learning, data analysis and visualization, text analysis, web scraping, sentiment analysis, complex systems science and networks, computational sociology and social simulation, ethics, data journalism and story-telling.

    • Università di Pisa

      -
      Bachelor's degree Biomedical Engineering 109/110

  • Experience

    • Università di Pisa

      Apr 2018 - Aug 2019
      Research Fellow

      Research fellow at the Department of Energy, Systems, Territory and Constructions Engineering of the University of Pisa.Application of advanced statistical methods to build predictive models of service times in healthcare setting. I co-authored two academic papers.

    • European Court of Auditors

      Sept 2019 - Feb 2020
      Data Scientist trainee

      - I worked on the development of a tool called "document navigator", able to support auditors in their work on daily basis. Natural language processing techniques were applied for text summarization, topic modeling and entities extraction.- Sentiment analysis to compare tone of voice of the Court's reports to the related press releases. Results published on the Court's Journal and on Medium.com

    • Hyntelo

      Mar 2020 - now

      - Design and implementation of a multimedia tagging solution for a Pharma company, that leverages Natural Language Processing models to extract relevant entities from text, images, audio andvideo files- Design and implementation of an agent powered by LLM able to query private knowledge bases with structured and unstructured data, handle multiple tools and have memory history- Building an ETL solution to feed a data product Portfolio Optimizer Dashboard for a company operating in the Payment industry- Supervision of Data Scientists, Scrum Master in R&D team, work closely with Product Owner, Marketing and Dev Teams to understand customer needs and design new product's features Show less - Design and implementation of a customer feedback solution via topic modeling, sentiment analysis, and emotion extraction techniques for a big pharma company- Development of privacy enhanced analytics for merchants and issuers: customers segmentation, affinity and loyalty analysis, churn analysis. I mastered tools like pySpark, SparkSQL, Airflow, Cloud Object Storage, Hadoop, git- I worked on the development of a Natural Language Generation solution for data storytelling. Tools used: SpaCy, Gensim, simpleNLG, WordNet Show less

      • Senior Data Scientist

        Mar 2023 - now

      • NLP Data Scientist

        Mar 2020 - Mar 2023

    • Lyriko

      Nov 2021 - Mar 2023
      Product R&D Team Lead

      - Development of an auto-tagging proprietary model by using advanced natural language processing techniques. Reached similar performance compared to AWS Comprehend Medical NER- Design and implementation of an omnichannel orchestration model to handle multiple marketing campaigns running on several channels and delivering a great variety of content- Supervision of Data Scientists- Scrum Master in R&D team, work closely with Product Owner, Marketing and Dev Team to understand customer needs and technical implications with the aim of proposing new and innovative product features. Periodically show results and POC to the management and external clients Show less

  • Licenses & Certifications