Edoardo

Ferrante

Data Scientist
 edoardo@ferranteai.ch | 
 ferranteai.ch | 
 edoardoferrante | 
 fleanend
 
 
“In varietāte ūnitās” 
 

About

Data Scientist with over 7 years of experience in developing and deploying data products from ideation to production. Skilled in infrastructure, CI/CD, software engineering, and machine learning, with a proven track record of increasing revenue and reducing costs. Passionate about leveraging data to drive business impact and fostering interdisciplinary teams.
 

Experience

Senior Data Scientist @ Education First
  • Led the development of the Conversion Model, increasing conversion rate by 80% and contributing to 40% revenue growth.
  • Implemented MLOps pipelines to streamline model training and deployment and ensure high-quality releases.
Zürich, Switzerland
May 2023 - CURRENT
Senior Data Scientist @ Reale Mutua Assicurazioni
  • Ideated and led the development of a product to help health underwriters leading to a 2.3% decrease in claim costs.
  • Ideated and led to production a complete document processing pipeline to extract information the millions of documents received annually. Allowing for several downstream tasks, like Entity Recognition, Document Classification, Structured Information Extraction
  • Co-led the first two downstream tasks, totalling more than 500k€ in yearly costs reduction.
Turin, Italy
Oct 2019 - May 2023
Data Scientist @ Var Group S.p.A.
  • Designed and developed ML solutions for SMEs, enhancing operational efficiencies and customer satisfaction.
Genoa, Italy
Feb 2018 - Oct 2019
Data Science and Engineering intern @ Var Group S.p.A.
  • Designed and implemented full stack architecture for Big Data Analysis with Hadoop.
Genoa, Italy
May 2017 - Jan 2018
 

Publications

Edoardo Ferrante. 2024
A High-quality Seed Dataset for Italian Machine Translation
Proceedings of the Ninth Conference on Machine Translation, pages 567-569, Miami.
Association for Computational Linguistics.

Stefano Lusito, Edoardo Ferrante, Jean Maillard. 2023
Text normalization for low-resource languages: the case of Ligurian
In Proceedings of the Sixth Workshop on the Use of Computational Methods in the Study of Endangered Languages, pages 98–103, Remote.
Association for Computational Linguistics.

Skills

  • Data Science & ML: PyTorch, Lightning, Pandas, Scikit-learn, LightGBM, LLM, Deep Learning, NLP, Computer Vision, Recommender Systems, Auto-Encoders
  • Software Engineering: Git, Docker, CI/CD, MLOps, AWS, Azure
  • Languages: Python, SQL, Bash, Terraform
 

Certificates

Education

Master Degree in Computer Engineering, Università degli Studi di Genova
  • Thesis: “A Big Data Architecture: From Ingestion to Analytics.”
Genoa, Italy
Oct 2015 - Dec 2017
Bachelor Degree in Computer Engineering, Università degli Studi di Genova
Genoa, Italy
Oct 2012 - Oct 2015
 

Languages

Italian
Native
English
Full professional proficiency
Ligurian
Professional working proficiency 
Spanish
Limited working proficiency
German
Elementary proficiency
Navajo
Elementary proficiency