Mohamed DYAB - WIZBII Mohamed DYAB has published his/her professional profile on WIZBII. M D

Mohamed DYAB

Data Scientist

34years • Paris

Summary

Data Scientist at Dolead (French AdTech startup in Paris). Worked at CNRS, INRIA, Valeo, co-founded startup. Experience in machine learning, deep neural networks, Python, R, Keras, Scikit-learn, SQL, Spark, Statistical analysis, Agile methodology, Test Driven Development. Went to ENSIMAG, Grenoble Alpes University and Alexandria University.

Skills

PythonrC++machine learningDeep LearningScikit-LearnKerasSQLSparkLinux EnvironmentShell Scriptinggit

Experiences

Research Intern - Deep Learning

03-2017 - 08-2017 IT developmentTopic:​ ​ Talking-face​ ​ Detection​ ​ using​ ​ Audio​ ​ and​ ​ Visual​ ​ Modalities​ ​ in​ ​ TV​ ​ Shows.​ ​ Python,​ ​ Keras​ ​ and​ ​ Scikit-Learn​ ​ are​ ​ used.​ ​ Source​ ​ code​ ​ on​ ​ GitHub: https://github.com/dyabmo/plumcot ○ Trained​ ​ convolutional​ ​ neural​ ​ networks​ ​ and​ ​ long​ ​ short-term​ ​ memory​ ​ networks​ ​ (LSTM)​ ​ to​ ​ detect​ ​ talking​ ​ faces​ ​ in​ ​ videos,​ ​ using​ ​ both​ ​ visual​ ​ and​ ​ audio​ ​ modalities. ○ Accomplishments:​​ ​ Showed​ ​ that​ ​ using​ ​ a ​ ​ combination​ ​ of​ ​ visual​ ​ and​ ​ audio​ ​ modalities​ ​ for​ ​ LSTM​ ​ improves​ ​ the​ ​ performance​ ​ over​ ​ using​ ​ either​ ​ modality​ ​ alone.

Data Scientist

02-2017 - NowIT developmentAnalysis and optimization of search engine advertising campaigns using statistical methods and machine learning techniques. Analyze Key performance indicators, search for areas of improvement, build prototypes and evaluate them, implement the best solution in production. Improve keyword bidding using both classical machine learning (Random Forests etc..) and deep learning techniques (LSTMs)

Research Intern - Machine Learning

02-2016 - 09-2016 IT developmentTopic:​ ​ GPU​ ​ Execution​ ​ Time​ ​ Prediction​ ​ using​ ​ Machine​ ​ Learning​ ​ and​ ​ Analytical​ ​ Modeling.​ ​ Python,​ ​ Scikit-Learn​ ​ and​ ​ R ​ ​ are​ ​ used.​ ​ Source​ ​ code​ ​ on​ ​ GitHub: https://github.com/marcosamaris/MLvsAMgpuperf ○ Trained​ ​ three​ ​ different​ ​ machine​ ​ learning​ ​ models​ ​ to​ ​ predict​ ​ execution​ ​ time​ ​ of​ ​ applications​ ​ running​ ​ on​ ​ GPUs,​ ​ and​ ​ compared​ ​ them​ ​ with​ ​ an​ ​ analytical​ ​ model. ○ Accomplishments: Showed that machine learning approach provides more flexibility than analytical approach, as some variables needn’t be explicitly calculated. Published​ ​ paper​ ​ at​ ​ IEEE-NCA​ ​ 2016​ ​ conference​.

Research Intern

02-2015 - 05-2015 IT developmentTopic:​ ​ Using​ ​ Resources​ ​ from​ ​ a ​ ​ Closely-related​ ​ Language​ ​ to​ ​ Develop​ ​ ASR​ ​ For​ ​ a ​ ​ Very​ ​ Under-resourced​ ​ Language:​ ​ A ​ ​ case​ ​ study​ ​ for​ ​ Iban​ ​ language. ○ Trained​ I ​ ban​ ​ acoustic​ ​ model​ ​ using​ ​ only​ ​ Iban​ ​ speech​ ​ (without​ ​ transcript)​ ​ and​ ​ acoustic​ ​ model​ ​ of​ ​ Malay​ ​ language​ ​ (a​ ​ closely-related​ ​ language). ○ Accomplishments:​​ ​ My​ ​ reported​ ​ results​ ​ are​ ​ included​ ​ in​ ​ a ​ ​ paper​ ​ published​ ​ at​ ​ Interspeech​ ​ 2015​ ​ conference.

Software Engineer

03-2013 - 09-2014 Energy / Materials / MechanicsDeveloped​ ​ standard​ ​ embedded​ ​ software​ ​ components​ ​ in​ ​ C/C++.​ ​ Performed​ ​ unit​ ​ testing,​ ​ integration​ ​ testing​ ​ and​ ​ hardware​ ​ testing. ○ Configured​ ​ AUTOSAR​ ​ (AUTomotive​ ​ Open​ ​ System​ ​ Architecture)​ ​ modules,​ ​ specifically​ ​ microcontroller​ ​ abstraction​ ​ layer,​ ​ and​ ​ testing​ ​ them​ ​ on​ ​ hardware​ ​ boards. ○ Accomplishments: Developed several software components such as SMS manager, eCall manager etc.. from scratch for eCall system (Emergency response to car accidents)​ ​ and​ ​ successfully​ ​ tested​ ​ them​ ​ on​ ​ hardware​ ​ boards.

Cofounder ​ ​ & ​ ​ Verification ​ ​ Engineer

01-2012 - 12-2012 IT developmentProviding​ ​ digital​ ​ systems​ ​ services:​ ​ digital​ ​ IP​ ​ cores​ ​ and​ ​ verification​ ​ IP​ ​ cores:​ ​ HDMI​ ​ 4.0​ ​ stimuli​ ​ generator​ ​ & ​ ​ LEON3​ ​ processor​ ​ configuration. ○ Accomplishments:​ ​ Received​ ​ a ​ ​ cheque​ ​ from​ ​ one​ ​ customer​ ​ for​ ​ our​ ​ efforts​ ​ in​ ​ completing​ ​ his​ ​ project.

Education & training

Ensimag - Université Grenoble Alpes

2015 - 2017 Grenoble, France, GrenobleIT development, Studies / Statistics / Data, IT development

My soft skills

Enterprising
Curious
Persevering
Responsive

Languages spoken

  • English

    Native language

  • French

    Intermediate

  • Arabic

    Native language

Extra-professional Experiences

Organizer

Software​ ​ Freedom​ ​ Day​ ​ 2010
08-2010 - 08-2010

​ Contacting ​ ​ the ​ ​ event ​ ​ speakers ​ ​ and ​ ​ welcoming ​ ​ them. ​ ​ Handling ​ ​ event’s ​ ​ logistics.

Organizer

Step​ ​ Up​​ ​ Entrepreneurship​ ​ Program
06-2010 - 07-2011

​ Planning ​ ​ and ​ ​ executing ​ ​ social ​ ​ entrepreneurship ​ ​ projects.

My Internet presence

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