Antoine Amend
Sr Technical Director - Financial services at Databricks
Data visionary leader, industry practitioner, financial services, big data world finalist, author, geek
As a data science architect, I bridge the gap between engineering, data science and devops, connecting people to industrialise actionable data products that transform businesses.  I provide my colleagues with expertise in enterprise architecture, commercial experience delivering data science to production as well as my solid understanding in software design patterns and passion for highly scalable systems.
Databricks
https://www.linkedin.com/company/databricks
New York, United States
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Sr Technical Director - Financial services
Barclays
https://www.linkedin.com/company/barclays-bank
London, United Kingdom
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Director of data science
Barclays
https://www.linkedin.com/company/barclays-bank
London, Royaume-Uni
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Head of data and analytics
Barclays
https://www.linkedin.com/company/barclays-bank
London, United Kingdom
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Lead machine learning engineer
KPMG UK
https://www.linkedin.com/company/kpmg-advisory
London, Royaume-Uni
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Machine learning engineer
TagMan
https://www.linkedin.com/company/tagman
London, Royaume-Uni
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Big data engineer
Cambridge Technology Partners
https://www.linkedin.com/company/atos-consulting-switzerland
Région de Genève, Suisse
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IT Consultant - Legal Interception - Big Data Engineer
Cambridge Technology Partners
https://www.linkedin.com/company/atos-consulting-switzerland
Région de Genève, Suisse
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IT Consultant - Sales Logistics System - Data Analyst
Cambridge Technology Partners
https://www.linkedin.com/company/atos-consulting-switzerland
Région de Genève, Suisse
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IT Consultant - Customer Experience Specialist
Master degree
astrophysics
Université Louis Pasteur (Strasbourg I)
https://www.linkedin.com/school/universit%C3%A9-louis-pasteur-strasbourg-i-/
License degree
theoretical physics
Université Louis Pasteur (Strasbourg I)
https://www.linkedin.com/school/universit%C3%A9-louis-pasteur-strasbourg-i-/
Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance –solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs.

This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights. You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more.

You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly.
Mastering Spark for Data Science
Packt Publishing
https://www.packtpub.com/big-data-and-business-intelligence/mastering-spark-data-science
As a finalist of the 2015 edition of big data world championship, I won the innovation award for my study in ITSM causality on CISCO network.
Placed in the top6 over 2500+ competitors - More info on http://www.texata.com
TEXATA
Finalist / Innovation Award - 2015 Big Data World Championships
Placed in the top12 over 2'500+ competitors, I qualified for the big data world championships finals held in Austin - Texas. More info on http://www.texata.com
TEXATA
Finalist - 2014 Big Data World Championships
Enabling continuous delivery and improvement of Spark pipeline models through devops methodology and ML governance
ML Registry
https://github.com/aamend/ml-registry
Using GraphX to detect possible causes and effects between time related events. We observe a true causation signal by generating random correlations over same events at different time and back propagate these scores to their most connected events. Finally, we extract the most probable causes and effects together with a score of aggressiveness (how likely an event could explain downstream effects) and sensitivity (how likely an event results from an upstream cause).
Fuzzy Cognitive Map on Apache Spark
https://github.com/aamend/pathogen
Hadoop implementation of Markov chain clustering using a Levenshtein distance measure
Markov Clustering on mapreduce
https://github.com/aamend/hadoop-primitive-clustering
Create an Input Split indexing method to drastically improve map-reduce performance
Input Split indexing on mapreduce
http://www.codeproject.com/Articles/587383/InputSplit-indexing-on-Mapreduce
Perl module used to convert network RADIUS log files into XML format
Radius::XMLParser
http://search.cpan.org/dist/RADIUS-XMLParser
Education
Observatoire astronomique de Strasbourg
https://www.linkedin.com/company/observatoire-astronomique-de-strasbourg
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Member of Teaching comittee
Children
World Organization of the Scout Movement (WOSM)
https://www.linkedin.com/company/worldscouting
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Director
https://www.linkedin.com/in/craigagnello
New York, NY
Craig Agnello
Sr. Director, Financial Services at Databricks
https://www.linkedin.com/in/bill-dague
New York City Metropolitan Area
Bill Dague
Head of Alternative Data at Nasdaq
https://uk.linkedin.com/in/mattjpugh
London
Matthew Pugh
Regional Vice President at Databricks - I'm hiring!
https://www.linkedin.com/in/rpfitzer
New York, NY
Ralph Pfitzer
STAND WITH UKRAINE 🇺🇦 Strategic Sales Leader | FinTech Enterprise Sales | Delivering customer value with high performance Big Data and Machine Learning solutions @Databricks
https://www.linkedin.com/in/darrinmontague
Rumson, NJ
Darrin Montague
Enterprise Account Executive at Databricks  (We are hiring!)
https://www.linkedin.com/in/jessica-san-filippo-41430513
New York, NY
Jessica San Filippo
Enterprise Account Executive - Financial Services
https://www.linkedin.com/in/ihsuan-bruce-yang
Mountain View, CA
I-Hsuan (Bruce) Yang
Member Of Technical Staff at Plus - hiring
https://www.linkedin.com/in/uzair-razak-221555141
Richmond, VA
Uzair Razak
Technology Recruiter at CarMax
https://www.linkedin.com/in/afader
New York, NY
Andrew Fader
Empathetic Engineering Leader and Growth Hacker | Software Development Manager III at Discovery
https://www.linkedin.com/in/shekhar-agrawal-4b59854
Austin, Texas Metropolitan Area
Shekhar Agrawal
Senior Director Data Science at Oracle
https://www.linkedin.com/in/davebess
Greater Phoenix Area
David Bess
Executive Technology Leader (Digital Transformation, Cloud Modernization, Emerging Technologies, Analytics)
https://www.linkedin.com/in/karenwbailey
United States
Karen Bailey
Head of Worldwide Financial Services Ecosystem Strategy
https://www.linkedin.com/in/gregceccarelli
San Francisco, CA
Greg Ceccarelli
EVP & GM, Pluralsight Flow | Tech optimist and occasional contrarian 🎩
https://www.linkedin.com/in/kanakroy
Santa Clara, CA
Kanak Kanti Roy
Senior Data Science Engineer  | 👨‍💻
https://www.linkedin.com/in/jtordable
Seattle, WA
Javier Tordable
Technical Director at Google
https://www.linkedin.com/in/allenmark
Olathe, KS
Mark P. Allen
Enterprise Architecture | Cloud Computing | Analytics | Software Development | IT Operations
Valentin Murariu
      
          



            
              
        
              
  

    
        I have worked with Antoine on a lawful interception project at Orange involving Big Data technologies. Antoine was fast to start on this new stack and soon we had a fully functioning system based on MapReduce for batch processing of large data sets. Antoine not only has shown the ability to acquire new skill sets in a short time frame, but made the project a real-life laboratory to propose and experiment improvements - and I think this is his main asset: his attitude is of a can-do person, and I trust that any project with Antoine as a member is going to benefit from this.
Liked by Antoine Amend
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I'd like to thank Junta Nakai, Antoine Amend, Chessa Vir, and Databricks for the opportunity to present open-source in finance and Morphir…
Liked by Antoine Amend
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Who came to Databricks FS Symposium in NY on March 15?14 of 15 largest banks in North America8 of 10 largest P&C insurers in US8 of 10 largest…
Liked by Antoine Amend
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Data science is evolving fast, and we’re looking for bright problem-solvers to join our team of talented tech analysts, developers, and engineers –…
Initiative for Analytics and Data Science Standards (IADSS)
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https://www.linkedin.com/groups/8679045
Global Network for Consulting
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Université de Strasbourg
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Data Science Collective
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Apache Spark
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Hadoop Developers
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Perl
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BigData Discussion Group
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Cyber Security & Data: Q&A's
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Databricks Talent Community
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The Big Data Stack
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Swiss Big Data User Group
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Hardcore Hadoop
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Algorithms and Data Structures Development
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