Dr. Ahmed Fahmy

Bis 2018, Data Scientist, Microsoft Corp.
München, Deutschland

Fähigkeiten und Kenntnisse

software development
image processing
computer vision
machine learning
optimization
remote sensing
data analysis
Big Data
Advanced Analytics
Big Data Analytics
Spark
AzureML
Python
R

Werdegang

Berufserfahrung von Ahmed Fahmy

  • 2 Jahre und 1 Monat, Apr. 2016 - Apr. 2018

    Data Scientist

    Microsoft Corp.

    - I'm GBB aligned, covering MEA for Advanced Analytics. - I collaborate on projects with Data Group ADS teams, Microsoft Corp, Boston. My work is to help large companies in their digital transformation journey using advanced analytics and mathematical optimisation. I work with major industries in MEA: with airlines, telco operators, banks, phosphate producers, ...

  • 1 Jahr, Apr. 2015 - März 2016

    Data Scientist, R&D Team Lead (Technical)

    OMS

    - I'm currently leading a small team. Half of my team are PhD students and the other half are engineers. - We are working on state-of-the-art Text Analytics tools using big data technologies. - We are working on sentiment analysis, topics detection,... - We are supporting Arabic, English, and working on other languages.

  • 3 Monate, Juni 2013 - Aug. 2013

    R&D software engineer

    EFI

    I am currently working as an R&D software engineer in the R&D department of EFI. We are developing new color modeling paradigm to enhance and facilitate printing and Color Management Systems (CMS) for the very large printers EFI produces. Technical environment • Hardware: PC • OS: Mac OS • Programming languages: C++, Php, Matlab • Library: Qt • Tool: Eclipse • Management tools: Pivotal Tracker, XMind • Color tools: Many public and internally developed tools.

  • 1 Jahr, Jan. 2012 - Dez. 2012

    Postdoctoral Researcher

    INRIA Rhone-Alpes

Ausbildung von Ahmed Fahmy

  • 3 Jahre, Okt. 2008 - Sep. 2011

    Image processing / computer vision

    Nice Sophia Antipolis / INRIA Sophia Antipolis

    My PhD work on image processing focalized on multiple object detection from images. It can divided into two parts: 1) Developing a new approach for 3D objects detection from 2D image, taking into account occlusions and perspective effects. 2) The proposal of a new mathematical optimization.

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Französisch

    Fließend

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