Hicham - Data Analyst PYTHON

Ref : 210224H002

Domicile

11100 RABAT (Maroc)
Profil

Data Analyst, Data Scientist, Développeur (32 ans)
Mobilité

Totalement mobile
Statut

Bientôt freelance
Tarif Journalier Moyen
Voir le tarif

Compétences

JAVA

PYTHON

DATA

Data science

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