Hicham - Data Analyst PYTHON

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