Figura professionale: Data Scientist
Nome Cognome | : M. B. | Età | : 33 |
---|---|---|---|
Cellulare/Telefono | : Riservato! | : Riservato! | |
CV Allegato | : Riservato! | Categoria CV | : Business Intelligence / Data Scientist / DWH |
Sede preferita | : Torino |
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Sommario
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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