Hi, I'm Ridouan Lachgar
Engineering Student in Data Science, Artificial Intelligence, and Digital Health
A first-year engineering student at ENSAM, Rabat.
Contact meAbout Me
My introduction
I am a first-year undergraduate in Digital Engineering, focusing on Data Science, Artificial Intelligence, and Digital Health. With a strong passion for technology and a proactive mindset, I thrive in dynamic environments. I seek a position to enhance my skills and contribute to a forward-thinking organization while continually learning and growing in my field.
certifications
experience
Skills
My technical levelProgramming Languages
C & C++
Java
JavaScript
Python
SQL
IT Constructs
DBMS
DS & Algorithms
OOP
OS
Technologies
Git
Numpy & Pandas
PostgreSQL
Scikit-learn & TensorFlow
ETL
Data Pipelines
Database Management
Qualification
My personal journeyPhysical Sciences
Ibn Batouta High SchoolPreparatory Classes
ENSAM RabatDigital Engineering in Data Science, Artificial Intelligence, and Digital Health (INDIA&SD)
ENSAM RabatProjects
Most recent work
BMP Filters
In this project, I implemented image filters such as grayscale, blur, reflection, and edge detection on BMP images. Using the C programming language, I worked directly with image data by manipulating the RGB values of individual pixels. The project required an understanding of image file formats, algorithms for filter operations, and efficient use of memory. Key technologies and competencies involved in this project include:
- Technologies: C, BMP file format, GCC (GNU Compiler Collection)
- Competencies: Image processing, memory management, pointer manipulation, algorithm design, debugging, and optimizing performance.
Finance Web Application
In this project, I developed a web application that allows users to register, log in, and manage their stock portfolio by buying and selling shares. The app tracks users' balances, stock prices, and transaction histories. Key technologies and competencies involved in this project include:
- Technologies: Flask, Python, SQLite, HTML, CSS
- Competencies: User authentication, session management, CRUD operations, basic financial calculations.
Tic-Tac-Toe with Minimax Algorithm
In this project, I implemented a Tic-Tac-Toe game that uses the Minimax algorithm to ensure optimal moves against any opponent. The algorithm evaluates all possible moves to either win or force a draw. Key technologies and competencies involved in this project include:
- Technologies: Python
- Competencies: Game theory, Minimax algorithm, recursion, algorithm optimization.
Crossword Puzzle Solver
In this project, I designed a program to generate and solve crossword puzzles using backtracking algorithms. The program adheres to word constraints, fitting words into a grid without violating row or column limits. The backtracking algorithm efficiently narrows down word choices based on available spaces. Key technologies and competencies involved in this project include:
- Technologies: Python, CS50 AI Library
- Competencies: Backtracking algorithm, constraint satisfaction, problem-solving, artificial intelligence, and optimization.
Traffic Sign Detection
In this project, I developed a program to detect traffic signs in images using machine learning techniques and Convolutional Neural Networks (CNNs). Utilizing a dataset of labeled traffic sign images, I trained a CNN to recognize various signs, such as stop signs, yield signs, and speed limit signs. The project involved preprocessing images, extracting features, and applying CNN architectures to achieve high accuracy in detection. Key technologies and competencies involved in this project include:
- Technologies: Python, OpenCV, TensorFlow, Keras
- Competencies: Image processing, deep learning, CNN architecture design, model training and evaluation, and data augmentation.