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Simone Palamara is listed as Lead Data Scientist at AXA Italia, a with 878 employees, based in Milan, Lombardy, Italy. AeroLeads shows a work email signal at axa.it and a matched LinkedIn profile for Simone Palamara.
Simone Palamara previously worked as Data scientist at Axa Italia and Information Technology Consultant at Moviri. Simone Palamara holds Doctor Of Philosophy (Ph.D.), Mathematical Models And Methods In Engineering, Ph.D. With Merit from Politecnico Di Milano.
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Technical Expertise Area: • Machine Learning models (Random forest, Gradient boosting, SVM) and Deep Learning models (CNN, Dense neural networks)• Python libraries (SKlearn enthusiast, Keras, Scipy)• AWS Services (AWS Console, Sagemaker, Glue, S3, Step Function, Lambda, Textract)Technical Side-Skills: • Python, Spark, shell scripting• RDBMS, SQL, E-R modelling• Distributed architectures design and configuration (Hadoop, Cloudera distribution, NoSql Graph-DB, …)• Data visualization (Tableau, Qlik, Zoomdata, Splunk) Skills Summary: • Data mining, Data Science techniques• OCR technologies• Data exploration and visualization• Data analysis and modelling • Integration with Third Party assets• Project and Team Management
Listed skills include Linux, Javascript, Data Analysis, Python, and 41 others.
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Milano, Lombardia, Italia
Come Lead Data Scientist coordino le attività/supporto nella crescita un team giovane composto da 7 Data Scientist e allo stesso tempo porto avanti alcune progettualità di Data Science (da classici modelli di Machine Learning a modelli di Deep Learning per classificazione immagini)
Milano, Italia
Authomatic anomaly detection & predictive models:• Design and implementation of an anomaly detection mathematical model to identify anomalies, real time, in the bandwidth consumption of customer’s offshore sites• Acquisition and analysis IoT data from welding machines to detect anomalies and predict issues• Involved Technologies: Splunk, OpNet, OPC UA server, Python scientific library (Numpy, Scikit-learn, Statsmodels)
Milano, Italia
CMDB and backup systems data integration:• Design and implementation of a unified heterogeneous data integration platform• Extraction of information aimed to help management governing the IT infrastructure (CMDB, Backup, Patching processes, and much more)• Involved Technologies: Splunk, Atrium CMDB, CMDBuild, OpenAudit, Javascript, Python, SQLClient: SAIPEMIndustry: Oil & gasTime period: 2016Location: Italy Advanced Process Control and Monitoring:• Modelling and unifying heterogeneous data coming from different monitoring sources (Nagios, SCOM, third party proprietary solutions) to obtain a real-time monitoring console• Definition and implementation of an approval process to control the share accesses and permissions• Involved Technologies: Splunk, Nagios, SCOM, Varonis, Python, Javascript, shell scripting, Neo4j, SQL
Milano, Italia
Research fellow for the project: "Numerical modelling of the electrical activity of the heart for the study of the ventricular dissincrony", in collaboration with Ospedale S. Maria del Carmine, Rovereto.I present the results of my work at various conferences around the world, having the possibility to confront my study with the scientific comunity.
Milano, Italia
Teaching activities as head assistant in “Numerical methods in Engineering”, master course in Biomedical and Nuclear Engineering, Politecnico di Milano.Teaching numerical calculus in classroom and in computer laboratory to an audience of more than 100 of students, both in italian and in english.
Sheffield, Regno Unito
Visiting Research at the Center Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) at the University of Sheffield (in collaboration with prof. Alejandro Frangi):- Strong collaboration in developing both the mathematical model and the software for the simulations- Knowledge exchange and possibility to be in contact with other experts in the field- Work on developing a C++/MPI library (LifeV) for modeling the electrical activity of the heart
Other employees you can reach at axa.it. View company contacts for 878 employees →
Massimo Bongiovanni
Colleague at Axa ItaliaItaly
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SC
Sandrolini Claudio
Colleague at Axa ItaliaTurin, Piedmont, Italy
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Ester Losi
Colleague at Axa ItaliaMilan, Lombardy, Italy
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Intonazzo Emilio
Colleague at Axa ItaliaMilan, Lombardy, Italy
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Francesca Tomei
Colleague at Axa ItaliaItaly
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Paola Cascone
Colleague at Axa ItaliaItaly
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Elisabetta De Rosa
Colleague at Axa ItaliaMilan, Lombardy, Italy
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Luca Zacconi
Colleague at Axa ItaliaPiacenza, Emilia-Romagna, Italy
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Sergio Bassi
Colleague at Axa ItaliaFiorenzuola D’Arda, Emilia-Romagna, Italy
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Francesca Attanasio
Colleague at Axa ItaliaItaly
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Thesis: Numerical approximation of the electrical activity in the left ventricle with the inclusion of the Purkinje fibers Advisors: Prof..
Thesis: Simulazione della dinamica di imbarcazioni da canottaggio usando geometrie reali e integrazione con la dinamica dei vogatori..
Thesis: Modelli macroscopici e simulazione di traffico su rete stradale Advisors: Carlo D'Angelo
Quick answers generated from the profile data available on this page.
Simone Palamara works for AXA Italia.
Simone Palamara is listed as Lead Data Scientist at AXA Italia.
AeroLeads has found 1 work email signal at @axa.it for Simone Palamara at AXA Italia.
Simone Palamara is based in Milan, Lombardy, Italy while working with AXA Italia.
Simone Palamara has worked for Axa Italia, Moviri, Dipartimento Di Matematica - Politecnico Di Milano, Politecnico Di Milano, and The University Of Sheffield.
Simone Palamara's colleagues at AXA Italia include Massimo Bongiovanni, Sandrolini Claudio, Ester Losi, Intonazzo Emilio, and Francesca Tomei.
You can use AeroLeads to view verified contact signals for Simone Palamara at AXA Italia, including work email, phone, and LinkedIn data when available.
Simone Palamara holds Doctor Of Philosophy (Ph.D.), Mathematical Models And Methods In Engineering, Ph.D. With Merit from Politecnico Di Milano.
Simone Palamara is listed with skills including Linux, Javascript, Data Analysis, Python, Matlab, Splunk, Project And Team Management, and Big Data.
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