Figura professionale: Data Scientist
Nome Cognome | : T. B. | Età | : 36 |
---|---|---|---|
Cellulare/Telefono | : Riservato! | : Riservato! | |
CV Allegato | : Riservato! | Categoria CV | : Business Intelligence / Data Scientist / DWH |
Sede preferita | : Milano |
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Sommario
Esperienze
Oct 2018–Present: 2 nd Internship – Pre-Sales Customer Intelligence & Analytics During this 2° internship at SAS Institute I have continued working on data science projects for important clients in different business fields and have expanded my knowledge in machine learning, also practicing with the following techniques: • Dimensionality Reduction • Anomaly Detection • Time Series • Text Analytics (creation of an algorithm for text exploration and querying)
May 2018–Oct 2018: 1 st Internship – Pre-Sales Customer Intelligence & Analytics I have worked on data science projects for important clients in different business fields, learning and applying the following machine learning techniques: • Data Mining • Data Cleaning • Data Visualization • Predictive Analysis • Customer Intelligence • Text Mining • Deep Learning
May 2018: Masterclass SAS Masterclass on SAS software: • SAS programming 1 • SAS programming 2 • SAS Macro language • SAS Visual Analytics overview • SAS Enterprise Miner Atos, Milano (Italy)
Feb 2018–May 2018: Internship Development of reports concerning Load & Stress tests within the field of System Integration, inside a project about Hadoop framework integration (Cloudera distribution) with an already existing database. Museum "G.Boato" – Department of Physics – Università di Genova, Genova (Italy)
2014–2015: Part-time student assistant Elaboration and filing of scientific and historical documents
EDUCATION Università degli Studi di Genova, Genova (Italy) 2012–2016: Master's Degree in Physics of Fundamental Interactions and Astrophysics Thesis topics: • Data analysis • Particle Physics • Background simulation 2007–2012: Bachelor's Degree in Physics Thesis topics: • Crystallography • History of Physics Liceo Classico Andrea D'Oria, Genova (Italy) 2002–2007: High School diploma in classical studies High school diploma in classical studies with top grade ADDITIONAL INFORMATION Attended SAS Forum Milan 2018 Attended XI Atlas Italia Workshop Membership in Atlas experiment (2015/2016) Membership in INFN (“Istituto Italiano di Fisica Nucleare” – Italian Institute of Nuclear Physics) (2015/2016) Driving license: B Available to travel Available to relocate
LANGUAGES Italian (First Language) English (C1 level – Ielts Academic Test results: 7.5 / 9) German (A1 level) PROGRAMMING LANGUAGES & FRAMEWORK • SAS (SAS Certified Base Programmer for SAS 9) • Python (NumPy, Pandas, Scikit-learn, Scipy, Keras/TensorFlow, Beautiful Soup, PySpark) • R • SQL • C++ • C • Scala • Spark
EXPERIENCE IN MACHINE LEARNING • Data Mining (Clustering algorithms, Principal Component Analysis, …) • Dimensionality Reduction (PCA, RPCA, …) • Data Cleaning • Data Visualization • Predictive Analytics (Decision Trees Methods, Regression Models, Neural Networks, …) • Customer Intelligence (Sankey diagrams, Factorization Machines, Market Basket Analysis, …) • Text Mining • Deep Learning (Keras/Tensorflow) • Anomaly Detection (SVDD, …) • Basics of Time Series
DIGITAL PROFICIENCIES Good knowledge of Office Package (word processor, spreadsheet, presentation software) Experience with Monte Carlo method Good knowledge of LaTex Knowledge of LabVIEW Basic knowledge of MCNPX
CERTIFICATIONS SAS Certified Base Programmer for SAS 9 Ielts Academic: 7.5 / 9 (C1 level)
SOFT SKILLS Excellent communication and organizational skills developed through my experience at Atos (daily contact with foreign colleagues for reports writing) Good team-leading skills developed through my experience at SAS (coordination of colleagues located in different towns)
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