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Enrico Compagno

Enrico Compagno

Lead Data Scientist

Logifuture Tech Ltd | London, UK

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Track

Keras Toolbox

My New Course

Introduction to Python

Data guardian, protecting the integrity and privacy of valuable information.

My Work

Take a look at my latest work.

DataLab

Course Notes: Spoken Language Processing in Python

course

Introduction to SQL

course

Introduction to Python

DataLab

Course Notes: Spoken Language Processing in Python

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

CompTIA CompTIA Data+ ce

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Understanding Artificial Intelligence
Understanding ChatGPT

My Work Experience

Where I've interned and worked during my career.

Logifuture | Jul 2023 - Present

Lead Data Scientist

N/A

Nova Futur Ltd | Nov 2021 - Jul 2023

Lead Data Scientist

N/A

Nova Futur Ltd | Nov 2020 - Oct 2021

Data Scientist (Team Leader)

N/A

Nova Futur Ltd | Jan 2020 - Oct 2020

Data Scientist

N/A

Faculty | May 2019 - Jul 2019

Data Science Fellowship

communication skills. As part of the fellowship I have worked on a customer segmentation project at easyJet, using unsupervised machine learning techniques in python as clustering and dimensionality reduction and tree- based methods for a feature importance analysis.
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easyJet | May 2019 - Jul 2019

Data Scientist

Machine learning to optimise marketing impact. A solution for optimal customer segmentation has been developed via unsupervised machine learning, on high cardinality mixed data. Tree-based methods have been exploited for a feature importance analysis. This placement was part of my Faculty AI Fellowship.

CNRS | Dec 2017 - Dec 2018

Research Associate

Post-Doc in theoretical physics on cold atoms system in a ring geometry. A scheme for triggering correlations for quantum simulations and atomtronics purposes has been realised using Floquet engineering and numerical simulations in python and Mathematica.

CNR - ISMN | Nov 2007 - Dec 2008

Internship

Development of numerical models for the structure factor of a Polytetrafluoroethylene based polymer (using C/C++), for comparison with SAXS measurements, for industrial applications

My Education

Take a look at my formal education

Doctor of Philosophy - PhD, Quantum TechnologyUCL | 2018
Master of Science (MSc), PhysicsUniversità degli Studi di Palermo | 2013
Bachelor of Science (BSc), PhysicsUniversità degli Studi di Palermo | 2010

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