Emanuele Tusoni

ROMA

Summary

Data Scientist with hands-on experience in developing Machine Learning models and conducting data analysis. Proficient in Python and SQL, with expertise in key libraries for data manipulation, visualization, model building, and deployment. Experienced in tackling a wide range of challenges, including NLP, computer vision, anomaly detection, and time-series analysis. Strong problem-solving abilities and a collaborative mindset, focused on delivering impactful results.

Overview

years of professional experience

Work History

Data Scientist

Immobiliare.it

04.2019 - Current

Working on data-driven solutions for the leading real estate portal in Italy
Designing and deploying machine learning models to support business decisions
Collaborating with cross-functional teams to extract insights from complex datasets

Software Developer

CNR-IRPPS

11.2016 - 02.2018

Development of a module for the management of graphic layers on customizable maps within the PLAKSS social platform.
Design and development of the user interface of an Information Retrieval system.

Education

Master's Degree - Computer Engineering

Universiry of Roma Tre

Roma, Italy

01-2019

Skills

Python programming
Machine learning
Statistical analysis
Natural language processing
Data visualization
Deep learning

Computer Vision
Anomaly detection
SQL databases
Git
MongoDB
REST API's

Languages

Italian

Bilingual or Proficient (C2)

English

Upper intermediate (B2)

Hobbies

Passionate about video games and modeling, especially Lego creations.
A movie and music enthusiast, as well as a hobbyist collector.
Committed to staying active with regular gym workouts.

Timeline