Hicham - Data Analyst PYTHON

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Photo de Hicham, Data Analyst PYTHON
Compétences
Expériences professionnelles
  • Data Scientist (Freelance)

    Promy, Lyon, France
    Jan 2019 - Jan 2020

    • Data Preprocessing, Cleansing, Analysis (MongoDB, Python)
    • Developed an automatic data scrapping API to scrape data from ”G´eoportail d’Urbanisme de
    France” (Python)
    • Developed a time series forecasting model to forecast real estate prices over time (Python, R,
    LSTM, ARIMA, Boosting trees regressors)
    • Developed an API for cadastral data ”Donn´ees Cadastrales de France” (Python)

  • Research Internship, Bank Al Maghrib (Central Bank of Morocco)
    Jan 2018 - Jan 2019

    Large-scale analysis of logs generated by ArcSight SIEM for detecting suspicious activity and predicting
    future threats on financial organizations such as scans and phishing.
    • Achievements: developed a tool to identify and block unauthorized scanners in the bank’s networks

  • Doctoral Research, ITC Research Laboratory (TICLab), UIR
    2018 - 2021

    ThreatPredict Project: Using Machine/Deep Learning and Time Series techniques to model and
    forecast future Cyber-attack rates and threats such as scans and data breaches by leveraging technical,
    global social and geo-political events such as signals from social media.
    • Achievements: Published 2 conference papers and 1 journal paper in peer review

  • Internship, Soft Centre, INPT, Rabat
    Jan 2017 - aujourd'hui

    Developing an Application for Customer loyalty: OCR, Data mining, Machine learning, Data Visualization
    - Build an OCR model using Python, Java, and data mining algorithms to extract purchases from the
    receipt image, understand customers profile, and help supermarkets satisfy their customers

Études et formations
  • EDUCATION

    PhD in Machine Learning, International University of Rabat, Morocco 2018 - 2021
    Thesis title: Modeling and Predicting Cyber Attacks Using Machine Learning
    Master Sc., Sidi Mohammed Ben Abdellah University, Fez, Morocco 2015 - 2017
    Specialization: Big Data Analytics and Smart Systems
    Bachelor of Science, Mohammed First University, Oujda, Morocco 2012 - 2015
    Specialization: Mathematical and Computer Sciences

    TEACHING

    Part-time Teacher, International University of Rabat
    • Course: Introduction to Computer Science (48 teaching hours) Fall 2020
    • Course: Computer Architecture (24 teaching hours) Fall 2019
    • Course: Introduction to Deep Learning (24 teaching hours) Fall 2019

    ACADEMIC PROJECTS

    1. Development of a Visual Speech Recognition (Lip Reading) system
    • Techniques: image processing, image descriptors extraction, convolutional neural networks
    • Tools: tensorflow, Keras, OpenCV
    • Language: Python
    • Achievements: achieved state of the art results and 2 datasets and published 1 journal paper,
    and won the Kambule Masters Dissertation Award for my thesis from Deep Learning Indaba
    • Usefulness: Help laryngectomized people to reproduce their speech only from lips movements
    2. Data Warehouse for the measure of good governance in the register offices of Fez
    • Techniques: ETL, OLAP
    • Tools: Talend, SQL Server
    • Usefulness: help the register offices to ensure services transparency

    SERVICES

    Animator of a workshop on ”Artificial Intelligence and Security: Security of AI models and AI for
    cybersecurity” at MoonShot Morocco 2019, Casablanca
    – Helped engineering and high school students learn about artificial intelligence, cybersecurity,
    and their interplay
    • Reviewing scientific papers
    – Reviewed 2 papers for the International Conference on Wireless Networks and Mobile Communications (Wincom) 2019
    – Reviewed 2 papers for the International Joint Conference on Artificial Intelligence (IJCAI) in
    2019 and 2018
    – Reviewed 3 papers for the 2018 IEEE/ACM International Conference on Advances in Social
    Networks Analysis and Mining (ASONAM)
    • Organizing Committee Member of IndabaX Morocco 2019: Designed conference brochures
    • Treasurer of Sidi Mohammed Ben Abdellah University IEEE Student Branch (IEEE STB)

    AWARDS
    • Fully sponsored round trip to attend and participate in the AI Hackathon, Tunisia, Sep 2019
    • Winner of Kambule Masters Dissertation Award for my master’s thesis. Title: Lip Reading with
    Hahn Convolutional Neural Networks Moments. Deep Learning Indaba (African ML gathering),
    Kenya, August, 2019
    • Full Travel/Accommodation Grant to attend and participate in Deep Learning Indaba , Kenya,
    August 2019
    • Full Travel Grant to attend NeurIPS Conference 2019 and its workshops, Vancouver, Canada
    • Full Travel Grant to attend NeurIPS Conference 2018 and to present a poster at Black in AI
    workshop, Montral, Canada
    • Silver Medal: Kaggle Porto Seguros Safe Driver Prediction Competition
    – Used bayesian optimization to find the best parameters and improved the prediction performance by blending XGBoost and CatBoost models

    RESEARCH INTERESTS
    Cybersecurity Cyber Attacks Modeling, Cyber Attacks Prediction
    Machine/Deep Learning Time Series Forecasting, Computer Vision, Causality

    TECHNICAL STRENGTHS AND SKILLS
    Data Mining / Data Analysis R, Python, SAS, Weka, Sphinx
    Machine Learning Classification, Regression, Clustering
    Big Data Analytics Hadoop, Spark, Sqoop, MapReduce
    Deep Learning frameworks Anaconda, PyTorch, Tensorflow, Keras
    Programming Languages Java, C/C++, Python, R
    Data Warehouse ETL, OLAP, Talend, SQL Server, QlikView
    Information Systems Decisional Geographic information system GIS, ArcGIS

    LANGUAGES
    Tamazight (Moroccan berber)
    Arabic
    English
    French

Autres compétences
EDUCATION

PhD in Machine Learning, International University of Rabat, Morocco 2018 - 2021
Thesis title: Modeling and Predicting Cyber Attacks Using Machine Learning
Master Sc., Sidi Mohammed Ben Abdellah University, Fez, Morocco 2015 - 2017
Specialization: Big Data Analytics and Smart Systems
Bachelor of Science, Mohammed First University, Oujda, Morocco 2012 - 2015
Specialization: Mathematical and Computer Sciences

TEACHING

Part-time Teacher, International University of Rabat
• Course: Introduction to Computer Science (48 teaching hours) Fall 2020
• Course: Computer Architecture (24 teaching hours) Fall 2019
• Course: Introduction to Deep Learning (24 teaching hours) Fall 2019

ACADEMIC PROJECTS

1. Development of a Visual Speech Recognition (Lip Reading) system
• Techniques: image processing, image descriptors extraction, convolutional neural networks
• Tools: tensorflow, Keras, OpenCV
• Language: Python
• Achievements: achieved state of the art results and 2 datasets and published 1 journal paper,
and won the Kambule Masters Dissertation Award for my thesis from Deep Learning Indaba
• Usefulness: Help laryngectomized people to reproduce their speech only from lips movements
2. Data Warehouse for the measure of good governance in the register offices of Fez
• Techniques: ETL, OLAP
• Tools: Talend, SQL Server
• Usefulness: help the register offices to ensure services transparency

SERVICES

Animator of a workshop on ”Artificial Intelligence and Security: Security of AI models and AI for
cybersecurity” at MoonShot Morocco 2019, Casablanca
– Helped engineering and high school students learn about artificial intelligence, cybersecurity,
and their interplay
• Reviewing scientific papers
– Reviewed 2 papers for the International Conference on Wireless Networks and Mobile Communications (Wincom) 2019
– Reviewed 2 papers for the International Joint Conference on Artificial Intelligence (IJCAI) in
2019 and 2018
– Reviewed 3 papers for the 2018 IEEE/ACM International Conference on Advances in Social
Networks Analysis and Mining (ASONAM)
• Organizing Committee Member of IndabaX Morocco 2019: Designed conference brochures
• Treasurer of Sidi Mohammed Ben Abdellah University IEEE Student Branch (IEEE STB)

AWARDS
• Fully sponsored round trip to attend and participate in the AI Hackathon, Tunisia, Sep 2019
• Winner of Kambule Masters Dissertation Award for my master’s thesis. Title: Lip Reading with
Hahn Convolutional Neural Networks Moments. Deep Learning Indaba (African ML gathering),
Kenya, August, 2019
• Full Travel/Accommodation Grant to attend and participate in Deep Learning Indaba , Kenya,
August 2019
• Full Travel Grant to attend NeurIPS Conference 2019 and its workshops, Vancouver, Canada
• Full Travel Grant to attend NeurIPS Conference 2018 and to present a poster at Black in AI
workshop, Montral, Canada
• Silver Medal: Kaggle Porto Seguros Safe Driver Prediction Competition
– Used bayesian optimization to find the best parameters and improved the prediction performance by blending XGBoost and CatBoost models

RESEARCH INTERESTS
Cybersecurity Cyber Attacks Modeling, Cyber Attacks Prediction
Machine/Deep Learning Time Series Forecasting, Computer Vision, Causality

TECHNICAL STRENGTHS AND SKILLS
Data Mining / Data Analysis R, Python, SAS, Weka, Sphinx
Machine Learning Classification, Regression, Clustering
Big Data Analytics Hadoop, Spark, Sqoop, MapReduce
Deep Learning frameworks Anaconda, PyTorch, Tensorflow, Keras
Programming Languages Java, C/C++, Python, R
Data Warehouse ETL, OLAP, Talend, SQL Server, QlikView
Information Systems Decisional Geographic information system GIS, ArcGIS

LANGUAGES
Tamazight (Moroccan berber)
Arabic
English
French

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