Marco Murtinu

Angestellt, IT Consultant, Reply

Milan, Italien

Über mich

I am passionate about the world of data. I hold a PhD in Applied Mathematics, during which I focused on data science and machine learning, but these days I am really enjoying working as a data engineer. I appreciate understanding the entire data life cycle and building tools, pipelines and infrastructures tha support the work of my entire team.

Fähigkeiten und Kenntnisse

Python
SQL
Git
Data Science
Machine Learning
Mathematics
Artificial intelligence
Data Analysis
PostgreSQL
Statistics
BigQuery
Applied Mathematics
Object Oriented Programming
Apache Airflow
NumPy
Google Cloud
Presentation skills

Werdegang

Berufserfahrung von Marco Murtinu

  • Bis heute 1 Jahr und 9 Monate, seit Okt. 2022

    IT Consultant

    Reply

    I am working as a data engineer at Power Reply, the company of the Reply group focused on the energy and utility market. I manage the customers data using services such as Google BigQuery, Apache Airflow and PostgreSQL. I enjoy designing pipelines, ETL processes and storage solutions that meet our clients' needs. I am also a certified Google Cloud Associate Engineer.

  • 2 Jahre und 10 Monate, Sep. 2019 - Juni 2022

    Research and Teaching Assistant

    University of Bath

    I have been teaching assistant for several courses at the Department of Mathematics. My responsabilities included teaching, preparing lectures and marking the students' weekly problem sheets

Ausbildung von Marco Murtinu

  • 4 Jahre und 10 Monate, Sep. 2018 - Juni 2023

    Statistical Applied Mathematics

    University of Bath

    During my PhD I have been particulalrly interested in applying machine learning methods to stochastic control problems. My final thesis, developed under the supervision of Prof Alex Cox, is titled: "Stochastic optimal control for problems arising in data science".

  • 1 Jahr und 11 Monate, Sep. 2016 - Juli 2018

    Applied Mathematics

    Università degli Studi di Torino

    During my master I focused on machine learning and data science. My goal was to leverage my mathematical and statistical knowledge to explore exciting topics such as machine learning and deep learning. In my final thesis I designed an algorithm to optimally detect change point in time series model.

  • 3 Jahre und 7 Monate, Sep. 2012 - März 2016

    Mathematical statistics

    Università degli Studi di Genova

    During my bachelor degree I studied mathematics, with a special focus on statistics and probability. In the last year of my bachelor I had the opportunity to stay for 6 months at the Technische Universität Dortmund to write my final thesis under the joint supervision of Professor Roland Fried and Professor Eva Riccomagno.

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