Figura professionale: Data Scientist

Nome Cognome: M. B.Età: 33
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CV Allegato: Riservato!Categoria CV: Business Intelligence / Data Scientist / DWH
Sede preferita: Torino

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Sommario

Data Scientist

Esperienze

Amadeus IT (Alten contractor), Sophia Antipolis, France March 2018 – Today: Data Science Engineer for Amadeus Hotel BI Data Scientist and Engineer for the R&D department inside Hotel BI division of Amadeus IT, working with Agile/SCRUM methodology. Working on a cross-selling project to recommend hotels to people that buy flight tickets. Design and implementation of Data Pipelines and NLP for Sentiment Analysis in Apache Spark. Technology stack: Spark, Hive, Python, Scala, scrapy, AWS, QlikSense, SQL

YouStart, Varese, Italy (Remote) June 2018 – Today: Technical Advisor I am collaborating with a very small Italian Start-up to help developing digital products. Development of PriceBuddy, a bot that tracks prices and offers of Amazon products for the users. It will be officially launched in September on Facebook and Telegram. Technologies: Python, Flask, Nginx, TensowFlow, SQL, Linux.

Elmec Informatica, Varese, Italy September 2017 – March 2018: Security Data Scientist Part of the Cyber Security Team to build a SIEM able to manage multiple GBs of data per day and to identify anomalous events integrating a high number of data sources. Main technologies: Splunk, ELK, Python.

Data Reply, Milan, Italy October 2016 – July 2017: Big Data Consultant Consultant for the Pirelli's Data Science and Advanced Analytics team. Design and implementation of algorithms for the Cyber Tyres and Smart Manufacturing projects using the Agile/SCRUM methodology. Main technologies: Python, Django, Docker, AngularJS, SQL, scikit-learn.

EIPCM, Berlin, Germany July 2016 – September 2016: Junior Research Consultant Support for the SmartH20 project (funded by the European Commission, IST programme, grant agreement no: 619172). The project aims at analyse Tweets in order to cluster users. The classification of users will be useful for better addressing communication campaigns. Main technologies: MongoDB, Python, scikit-learn.

Education Politecnico di Milano, Milan, Italy 2014-2016: Master’s Degree, Computer Science and Engineering, 110/110 cum Laude Software Engineering, Distributed Systems, Middleware Technologies, Advanced Databases, Operational Research, Data Mining, Machine Learning, Model Identification and Data Analysis, Recommender Systems.  Merit Scholarship  Scholarship for thesis abroad. Delft University of Technology, Delft, Netherlands March 2016 – July 2016: Master Thesis, Computer Science and Engineering “Micro-clustering for Session-based Music Recommender System”. Big Data with Apache Spark. Politecnico di Milano, Milan, Italy 2011-2014: Bachelor’s Degree, Computer Science and Engineering, 108/110 Calculus, Linear Algebra, Physics, Imperative Programming, Computer Architectures, Algorithms and Data Structures, Databases, Object-Oriented Programming.  Merit Scholarship Istituto di Istruzione Superiore Carlo Albero Dalla Chiesa, Sesto Calende, Italy 2006-2011: Scientific Diploma

Languages  Italian (Mother tongue)  English (Fluent)  French (Elementary proficiency)

Main Technical Skills  Programming Language: Python, Scala, Java, R  Databases: SQL, MongoDB, Neo4j  Web Technologies: Django, Flask, AngularJS, HTML/CSS  Big Data: Apache Spark, Splunk, ELK, Hive, Oozie  Others: scrapy, TensorFlow, QlikSense, Docker, Git, Linux, AWS

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