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Otras habilidades profesionales (13)
Luca en pocas palabras
Luca Puggini is a dynamic person and a fast learner with a strong interest in quantitative and computational subjects. He has a deep knowledge of machine learning, artificial intelligence, mathematics and statistics and a wide experience in computational intelligence techniques applied to large datasets. He is also passionate about programming, and experienced in several programming languages. In particular he has an advanced knowledge of Python and its numerical libraries (tensorflow, sklearn, numpy, scipy, pandas, statsmodels) and a working knowledge of R, Scala, C and Matlab.
Experiencia
- Corvil / Pico TradingData ScientistHIGH TECHoctubre de 2016 - Hoy (8 años y 4 meses)Madrid, EspañaDevelopment of algorithmic solutions to monitor network efficiency in high frequency trading platforms.Main achievements:Development algorithms for anomaly detection (distribution agnostic) in time series at scale(monitoring up to 50k metrics).Analysis of diagnostics data for common product root cause detection (customer support)Development of pipelines for high volume data collection.
- IntelData Scientist (Visiting Researcher)HIGH TECHdiciembre de 2013 - septiembre de 2016 (2 años y 9 meses)Dublin City pre 1849, IrlandaResearcher in the Data Analytics department at Intel. Development of systems for efficient real timedata analysis in a semiconductor manufacturing contest.Main achievements:Development of anomaly detection systems for wafer processing.Predictive model for high dimensional Optical Emission Spectroscopy data.Unsupervised features selection algorithm for robust and interpretable dimensionality reduction.Peak calibration system through the use of genetic algorithms
- GoogleDeveloper (Student Developer)HIGH TECHmayo de 2015 - agosto de 2015 (3 meses)Dublín, IrlandaFunded by Google as part of the GSoC 2015 project to develop a Generalized Additive Models toolboxfor the python statsmodels library. The project was under the supervision of Josef Perktold from McGillUniversity. The code and the library are available athttps://github.com/statsmodels/statsmodels.Achievements:- Development of a GAM toolbox for python. A contributions of around 2300 lines of python code.
2 recomendaciones externas
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Niall Moran y 1 otra persona recomiendan a Luca
29/11/2019
I worked with Luca on the data science team at Corvil. He is a very skilled programmer and experienced with mathematics, machine learning and data science methodologies. Luca also has an ability to come up with creative solutions to problems.
29/11/2019
He is very good in programming and complex problem solving.
Formación
- PhD Data Analytics and Machine LearningMaynooth University2016Research on machine learning and statistics applied to the semiconductor manufacturing industry. Particular focus is on dimensionality reduction, predictive modelling and anomaly detection. The research is carried under the supervision of professor Seán McLoone from Queen’s University Belfast
- Master’s Degree in MathematicsTor Vergata University2013Study of applied mathematics with particular focus on applied probability, statistics and numerical analysis. The Master’s Thesis was written under the supervision of professor Arnoldo Frigessi and Gianpaolo Scalia Tomba
- Bachelor Degree in Pure and Applied MathematicsUniversity of Tor Vergata2011General topics in pure and applied mathematics.