Figura professionale: Matematico applicato / Data scientist
Nome Cognome | : o. g. | Età | : 36 |
---|---|---|---|
Cellulare/Telefono | : Riservato! | : Riservato! | |
CV Allegato | : Riservato! | Categoria CV | : Consulente Applicativo |
Sede preferita | : Roma |
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Sommario
Esperienze
Applied mathematician looking for an opportunity in Data Science
Current position
2017 – 2020 Ph.D. in Applied Mathematics, Sapienza University of Rome, Italy
General Employment history
2018 – 2019 Research Intern at the National Research Center of Italy
2015 – 2016 Accountant Assistant, KAMEX-Air expanding Systems .
2007 – 2009 Secretariat Assistant, Giannopoulou D. & Co.
Education
2016 MSc in Applied Mathematics, National Technical University of Athens, Greece
2014 BSc in Applied Mathematics and Statistics, National Technical University of Athens, Greece
Machine Learning specific education
2020 (ongoing) Machine learning with Octave from Princeton University (online from Coursera)
• Supervised learning & Unsupervised Learning using Octave/Matlab
2020 Machine learning with Python for developers (online from Google)
• Supervised learning using libraries such as sklearn and tensorflow
2018 Course in Mathematics for Artificial Intelligence, Sapienza, Rome
• Mathematical and Physical Foundations of AI and ML
Hard skills
Prog. Languages Python
• Used mainly for performing Machine learning R package
• Descriptive statistics
• Regression analysis
• Hypothesis testing
Comp. Software Matlab / Octave
• Scientific computing (Time series analysis, numerical integration, linear algebra)
• Machine learning
Soft Skills
• Enthusiasm and curiosity to work in a stimulating environment
• Enjoy to work in a collaborative environment with positive attitude
• I always enjoy to use scientific knowledge for the better
• Oriented to the result but always strive for a quality one
• Experience in working with international groups
• Ability to communicate technical concepts in a clear manner
Languages
English Proficient
Italian Fluent
Greek Native
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