My teaching method is to let the student get his hands on the practical side directly, I believe that learning by doing is the best way to gain in knowledge, from exercices to small projects where I teach computer programming step by step.
Software Engineering student & Data Science enthusiast, curious about the Machine Learning discipline and familiar with Web Development. Passionate about Problem Solving, Data Structures and Algorithms. I am at my final year to get my Software Engineer Degree from ENSIAS.
Degrees :
2018–2021 State engineer degree, ENSIAS - National School of Computer Science and System Analysis, Rabat, Software Engineering.
2016–2018 Higher Schools Preparatory Classes, Salmane Al Farissi, Salé, Mathematics, Physics and Computer Science.
2015–2016 Baccalaureate, Moulay Youssef High School Rabat, Rabat, Mathematical Sciences option.
Professional Experience:
** July–September.2020 ** Business Intelligence Developer Internship, PORTNET S.A, Build a decision-making system for PORTNET S.A. via Oracle, Talend and Tableau.
** January. 2020 ** Web Engineering Project, Rabat Scientific Institute, Illustrated guide to the macrobenthos linked to the seabed of Oued Laou bay via React.js, JAX-RS,MySQL and GoogleMaps API.
** June–August.2019 ** Full Stack Web Developer Internship, IntellCap, Rabat, E-Commerce website for selling electronic goods. via React.js and Node.js.
Projects:
+ DevBook : an e-Portfolios platform for developers via MongoDB, Express.js, React.js and Node.js.
+ Latest IMDB Movies Displayer : Detailed catalog of recent movies via React.js and TMDb API.
+ Building a mini-compiler for the R language via the C language.
+ Smart Location Alarm : an Android mobile app that serves as a location-based smart alarm via Java,
GoogleMaps API, Firebase.
+ ProjectOverflow : Creation of a mini-platform for project management via Spring/Hibernate, PrimeNG,
MySQL et MongoDB.
+ KanbanBoard : Displaying the Kanban Board used in agility based projects via Spring Boot, React.js
and H2 Database.
+ Predicting Car Accidents Severity : Final project for obtaining the IBM Data Science Professional
Certificate via Python: Pandas, Sklearn.
+ Reverse Image Search Engine : a mini image-based search engine via Python : OpenCV, Tensorflow..
and Flask for model deployment.
+ Object detection for autonomous cars via YOLOv3 algorithm, Tensorflow and Keras.
+ Facial recognition to control staff access via FaceNet algorithm, Tensorflow and Keras.
+ Realization of an automatic trading system and price prediction using ARIMA and LSTM forecasting
models via Python : Pandas, Tensorflow, Keras.. and Flask for model deployment.
+ LightFinance : Design and implementation of a finance Data Mart, deployment and visualization of the
cube via Microsoft SQL Server, SSIS, SSAS and Microsoft PowerBI for reporting.
Achievements:
+First place in Morocco and 287th place worldwide in the Competitive Programming contest IEEEXtreme 13.0.
+Data Science Professional Certificate delivered by IBM.
+Deep Learning Specialization and DeepLearning.AI TensorFlow Developer delivered by deeplearning.ai.
Languages:
+French: Professional working proficiency
+English: Professional working proficiency
+Arabic: Native language
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