Figura professionale: Data Scientist
Nome Cognome | : L. B. | Età | : 41 |
---|---|---|---|
Cellulare/Telefono | : Riservato! | : Riservato! | |
CV Allegato | : Riservato! | Categoria CV | : Business Intelligence / Data Scientist / DWH |
Sede preferita | : Milano |
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Sommario
Esperienze
• Data analyst, the Research Institute in Astrophysics and Planetology (IRAP) and CNRS, Toulouse, France, July 2015-June 2017 – Projects: •Statistical study of species and transitions observed through 484 spectra. •Produce a catalogue. – Achievements: •Work with large datasets: manipulating, cleansing and processing data. •Check and validate the results.
• Researcher in Astrophysics, Porto University, Porto, Portugal. 2011- 2015 – Implementation of algorithms using Python. – Development of a N-body simulation code and a numerical integrator. – Analyze data, also generated by the simulations; search for trends and correlations. Applied techniques: descriptive statistics (median, mode, mean, standard deviation); Chi-squared test, linear regression, Monte Carlo method and F-test. – Projects: •Study of binary systems using statistical methods. •Derivation of stellar parameters and abundances. •Study the statistical properties and chemical evolution of evolved stars. – Achievements: •Combination of different statistical methods to find trends and correlation •Presentation of research in international conferences.
• Assistant at the Technical Department, Riva del Garda-Fierecongressi S.p.A, Italy.2011 – Event planner: manage schedules and maintain relationships with numerous international vendors.
• Receptionist, Hotel Excelsior Bay, Malcesine (VR), Italy. 2005 – Welcoming visitors and making sure they were comfortable. – Dealing with all enquiries and resolving any problems.
Skills Languages Italian (Native); English, Portoguese (fluent); French, Spanish (Intermediate), German (Basic) Programming languages/ Technologies Python (Pandas, Seaborn, Numpy, Scipy, Matplotlib, ScikitLearn);NLP; Jython; Excel; Word; Power Point; LaTex; Linux; Git; MySQL; SQL Statistical skills Monte Carlo methods; polynomial fits; interpolation, chi-squared test, F-test; confidence intervals; conditional probability Machine Learning Methods Linear and logistic regression; random forest; SVM; clustering; PCA Communication skills Ability to explain complex topics to non-scientific audience Soft skills •Empathy, desire to help others, persevering, sociable, open to new ideas and changes. •Ability to work on teams or independently, analytical, curious, quick to pick up new skills. •Good ability to adapt to multicultural environments, gained through my work experience abroad
Education • PhD. Astronomy, University of Porto. Porto, Portugal. 2011-2015 – Thesis: Exoplanets: Gaia and the importance of spectroscopic follow-up. – Graduation date: 22nd of June 2015. – Courses: Communication in Science, effective communication, time management. • MSc. Astrophysics, University of Bologna, Bologna, Italy. 2008-2010 – Thesis: Detection of N15NH+ in L1544. – Graduation date: 16th of July 2010 – Main courses: Numerical Calculus, Astronomical statistics, Formation of galaxies, simulation and Numerical methods. • BSc. Astronomy, University of Bologna, Bologna, Italy. 2003-2007 – Thesis: The astronomical vision in Seneca's Naturales Quaestiones book and its legacy in modern thought. – Graduation date: 21st of December 2007 – Main courses: Calculation and Statistics; Linear Algebra; Programming; Experimental physics. Courses • Intermediate Data Science: Python, Virtual course, Springboard, Jun 2018 – Sep 2018 • French Courses, Alliance Française de Toulouse, France, 2015-2017 • Project Management – GREAT Group, Harrison-Associates, ESA, The Netherlands, Feb 2012
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