Edoardo

Ferrante

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

About

Full-Stack 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

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.
 

Projects

TorchGLocalK
  • Developed a PyTorch implementation for the GLocal-K recommendation algorithm, enhancing its performance and usability.
 

Skills

  • Data Science & ML: PyTorch, Lightning, Pandas, Scikit-learn, LightGBM, 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