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Marco Angius

Marco Angius

Certified

Data Scientist

TomorrowData / EURECOM - PoliTO | Turin, Italy

Technologies

My Portfolio Highlights

My New Course

Unsupervised Learning in Python

My New Track

Time Series

My New Course

Manipulating Time Series Data in Python

My New Course

Unsupervised Learning in Python

AI Tinkerer

My Work

Take a look at my latest work.

course

Unsupervised Learning in Python

course

Manipulating Time Series Data in Python

course

Foundations of PySpark

course

Machine Learning for Time Series Data in Python

course

Machine Learning with Tree-Based Models in Python

course

Introduction to Python

course

Unsupervised Learning in Python

My Certifications

These are the industry credentials that I’ve earned.

Data Literacy

Data Literacy

AI Fundamentals

AI Fundamentals

DataCamp Course Completion

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

Courses

Introduction to Python
Understanding Artificial Intelligence
Understanding ChatGPT
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

TomorrowData | Aug 2019 - Present

Data Scientist

Machine learning for industrial applications and data analytics.

TomorrowData | Feb 2019 - Jul 2019

Python Backend Developer

Python backend developer for IoT and cloud infrastructures.

EURECOM | Oct 2017 - Jan 2019

Graduate Student (Double Degree) in Data Science

A semester project with DNCs (Differentiable Neural Computers) as main subject. The goal has been to study this form of neural network, as provided in the reference paper published by Deepmind, and replicate some of the experiments described in the paper. As final result the DNC was used to complete partial provided sushi receipts letting the NN to complete them with ingredients already seen.
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Amadeus IT Group | Jul 2018 - Dec 2018

Internship: Log Mining for Failure Analysis on Spark

Analysis of Spark application failures. - Log extraction and datasets creation employing Spark (up to TB) - Exception Analysis using Frequent Pattern Growth - Class Imbalance Problem - Random Forest and MLP model training and validation

My Education

Take a look at my formal education

Master's degree, Data Science and EngineeringEURECOM | 2019
Master's degree, ICT for Smart SocietyPolitecnico di Torino | 2019
Bachelor's degree, Electrical and Electronics EngineeringUniversità degli Studi di Cagliari | 2016

About Me

Marco Angius

With 5+ years as a Data Scientist, I've applied AI and ML in the industrial, medical, and machining fields. I'm an avid learner, currently focused on generative AI. I use python on in my spare time for automating tasks through API scraping.

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