HI,It's Yousra Meflah

I'm a AI & Data Science Engineer

Passionate about artificial intelligence, data, and innovation ;
I love turning ideas into intelligent systems that make a difference. I'm always exploring new technologies, solving problems, and learning something new every day.

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AboutMe


I'm Yousra Meflah, a 5th-year Computer Science student specializing in Artificial Intelligence and Data Science. I enjoy building intelligent solutions, analyzing data, and experimenting with new technologies to solve real-world problems.

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Services

Web Development


I design and build modern, responsive websites using HTML, CSS, and JavaScript. I focus on creating clean, user-friendly interfaces that look great on all devices. Whether it's a portfolio, landing page, or interactive website, I can bring your ideas to life with smooth design and functionality.

Technologies


  • HTML
  • CS
  • JavaScript
  • Responsive Design
  • UI/UX Concepts

Backend Development


I develop secure and efficient backend systems using FastAPI and Node.js. I design and connect SQL and NoSQL databases like MySQL, SQLite, and MongoDB to manage user data, authentication, and APIs for web and mobile applications.

Technologies


  • FastAPI
  • Node.js
  • MySQL
  • SQLite
  • MongoDB
  • REST APIs

Artificial Intelligence & Data Science


I design AI-powered solutions and data-driven applications using Machine Learning and Deep Learning tools like TensorFlow, scikit-learn, and Pandas. I can help automate processes, extract insights, and make smarter predictions from data.

Technologies


  • Python
  • CS
  • TensorFlow
  • Data Visualization
  • Pandas
  • Skiti-learn

Projects

Market Basket Analysis

Discovered shopping patterns in a grocery dataset using FP-Growth. Deployed an interactive Streamlit app to explore association rules.

Skills : Python, Machine Learning, Streamlit, Data Analysis


Review Project

Ouvre Social Platform

Developed a social platform back-end, and database. Implemented CRUD operations, REST APIs, and used MongoDB, Express.js for data management.

Skills: Node.js, Express.js, MongoDB, REST APIs


Review Project

ECG Anomaly Detection

Built GRU and LSTM autoencoders to detect anomalies in ECG signals. Interactive Streamlit interface allows users to upload data and visualize reconstruction errors.

Skills: Python, PyTorch, Deep Learning, Data Visualization


Review Project

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