Carlo Recchia

Angestellt, Information Security Specialist, Enel S.p.A.
Turin, Italy

Fähigkeiten und Kenntnisse

Information Security
SIEM
Malware Analysis
Machine learning
Big Data Analytics
LINUX
Windows Server
System Administration
Python
JavaScript

Werdegang

Berufserfahrung von Carlo Recchia

  • Current 16 years and 1 month, since May 2010

    Information Security Specialist

    Enel S.p.A.

    Areas of Activity: Security Operations, Risk Monitoring, Security Incident Response SIEM Intrusion Prevention Spam Filtering Malware Analysis and Reverse Engineering Antivirus and Endpoint Protection

  • 5 years and 4 months, Jan 2005 - Apr 2010

    System Administrator

    Enel S.p.A.

    Microsoft and Linux server administration. Responsible for remote software delivery, patching and configuration management in a large network with several tens of thousands of endpoints, servers and workstations. Experience with BMC Configuration Manager platform, Linux command line, Microsoft WSUS. Coding of BMC Configuration Manager plugins in Java.

  • 5 years and 3 months, Oct 1999 - Dec 2004

    Hardware and Networking Specialist

    Enel S.p.A.

    Installation and troubleshooting of servers, workstations and local area networks.

  • 7 years and 8 months, Feb 1992 - Sep 1999

    Mainframe System Administrator

    Enel S.p.A.

    ROSCOE, TSO and Netview Access system administrator on mainframe, in MVS environment.

  • 6 months, Aug 1991 - Jan 1992

    Mainframe Operator

    Telecom Italia S,p,A,

    Task scheduling on mainframe with Job Control Language, in MVS environment.

  • 3 months, May 1991 - Jul 1991

    COBOL Developer

    Speed S.r.l.

    Business applications development in COBOL language.

Ausbildung von Carlo Recchia

  • 2 months, May 2019 - Jun 2019

    Python 3 Programming Specialization

    University of Michigan

    Learned how to write Python programs that query Internet APIs for data, and extract useful information from them. Image manipulation, OCR and computer vision using Python. Verification url: https://www.coursera.org/account/accomplishments/specialization/87KZSAPRJKSZ

  • 2 months, Mar 2019 - Apr 2019

    Machine Learning

    Stanford University

    Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks, deep learning). Unsupervised learning (clustering, dimensionality reduction, recommender systems). Verification url: https://www.coursera.org/account/accomplishments/verify/ADU7YC6NNSHD

  • 2 months, Feb 2015 - Mar 2015

    Hardware Security

    University of Maryland, College Park

    This course, is about security and trust from the hardware perspective: the vulnerabilities in current digital system design flow and the physical attacks to these systems. Verification url: https://www.coursera.org/account/accomplishments/verify/MV3YJ577UB

  • 2 months, Oct 2014 - Nov 2014

    Software Security

    University of Maryland, College Park

    This course explores important software vulnerabilities, such as buffer overflows and SQL injection, and analyzes the defenses that prevent these attacks, including advanced testing and program analysis. Verification url: https://www.coursera.org/account/accomplishments/verify/SR68RNWCHB

  • 2 months, Jun 2014 - Jul 2014

    Big Data Analytics

    Big Dive Course by Top-IX

    Big Dive is a training program to boost the technical skills needed to dive into the Big Data universe. Main topics: data visualization, statistics, machine learning, network science. http://www.bigdive.eu

  • 3 months, Feb 2014 - Apr 2014

    Internet History, Technology, and Security

    University of Michigan

    Online course offered by Coursera, about Internet creation, how it works and communications security aspects. Signature track verification: https://www.coursera.org/account/accomplishments/verify/REN3CNHPES

  • 2 months, Jun 2013 - Jul 2013

    Malicious Software and its Underground Economy

    Royal Holloway University of London

    Online course offered by Coursera, about traditional and mobile malware, state-of-the-art analysis and detection techniques, and the underground ecosystem that drives such a profitable but illegal business. Verification url: https://www.coursera.org/account/accomplishments/verify/PVXEY3N6TE

  • 3 months, Mar 2013 - May 2013

    Social Network Analysis

    University of Michigan

    This course uses social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the Internet.

  • 1 month, Jun 2012 - Jun 2012

    Malware Analysis

    D3lab S.r.l. - Information Security Company

    Training course about static analysis of malware, packing, code obfuscation, and dynamic analysis in virtualized environment.

Sprachen

  • Italian

    C2 (Verhandlungssicher / Muttersprachlich)

  • English

    C1 (Fließend)

  • French

    B1-B2 (Gute Kenntnisse)

  • Chinese

    A1-A2 (Grundkenntnisse)

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