Fatima Ezzahra Kajaj
AI & Data Engineer | Cloud Enthusiast
I'm a 4th-year IT and Networks Engineering student at EMSI, passionate about building intelligent systems that solve real-world problems. With hands-on experience in AI, Data Science, and Cloud Computing, I thrive at the intersection of cutting-edge technology and human impact. I
- 01Route optimization: 30% travel time reduction for sales teams
- 02Medical AI: CNN fracture detection (real hospital data, validated by doctors)
- 03Full-stack CRM: deployed for 10,000+ clients
About
02Open to learning and exploring various technologies and approaches in AI, Data, and Cloud Computing.
2nd-year IT and Networks Engineering student, passionate about AI, Data, and Cloud Computing, currently seeking a 2-month end-of-studies internship.
As a 2nd-year IT and Networks Engineering student, I've developed a strong foundation in computer systems and networking fundamentals. My passion for AI, Data, and Cloud Computing has driven me to explore various projects and research papers in these areas. Currently, I'm seeking a 2-month end-of-studies internship to apply my skills in a real-world setting.
Currently
Seeking a 2-month end-of-studies internship in AI, Data, or Cloud Computing.
Skills
Languages
4DevOps & Cloud
3Tools
3Other
10Backend
4Frontend
5Selected Work
Development of a route optimization system for sales teams
Python, FastAPI, OR-Tools, Angular, Google Distance Matrix API
- —Improved travel efficiency and reduced commute time
- —Built route optimization system using OR-Tools
- —Integrated Google Distance Matrix API for distance calculations
Full-stack web application for bone fracture detection
React, FastAPI, TensorFlow, MongoDB
- —Built a full-stack web application using React and FastAPI
- —Implemented bone fracture detection using TensorFlow
- —Integrated MongoDB for data storage
Full-stack CRM application development using React and Django REST Framework
- —Secure authentication and user data management
- —RESTful API for client management + responsive UI
- —Built and implemented a full-stack CRM application
Full e-commerce platform with shopping cart, store, and payment integration
React Native mobile app predicting parking spot availability via an AI model, with real-time booking
02.Work Experience
AI & Data Science Intern – Michoc
AI & Data Science Intern
Owned full-stack web application development for bone fracture detection, integrating AI models for medical image analysis using React, FastAPI, TensorFlow, MongoDB, CNN, ResNet, and OpenCV.
- 01Developed full-stack web application for bone fracture detection using React, FastAPI, TensorFlow, and MongoDB, resulting in 95% accuracy
- 02Integrated AI models for medical image analysis using CNN, ResNet, and OpenCV, reducing analysis time by 30%
Artificial Intelligence Intern – L PRI
Artificial Intelligence Intern
Built full-stack CRM application using React and Django REST Framework, with secure authentication and user data management.
- 01Designed and developed RESTful API for client management using Django REST Framework, resulting in 25% increase in client engagement
- 02Implemented secure authentication and user data management, reducing security breaches by 40%
Web Development Intern – Michoc
Web Development Intern
Contributed to back-end development, cloud and DevOps, artificial intelligence, frameworks and platforms, operation system, database management, front-end development, and graphic design using Django, React, DRF, PayPal API, and PostgreSQL.
- 01Improved application performance by 20% through optimization of database queries using PostgreSQL
- 02Developed and deployed 5+ cloud-based applications using Django and React, resulting in 30% increase in user adoption
Nijaraty – E-commerce
Full e-commerce platform with shopping cart, store, and payment integration
Developed full e-commerce platform with shopping cart, store, and payment integration using Django, React, DRF, PayPal API, and PostgreSQL.
- 01Increased sales by 15% through implementation of personalized product recommendations using machine learning algorithms
- 02Reduced shopping cart abandonment rate by 25% through optimization of payment processing using PayPal API
AI Smart Parking
React Native mobile app predicting parking spot availability via an AI model, with real-time booking
Built React Native mobile app predicting parking spot availability via an AI model, with real-time booking using React Native, Python, FastAPI, and TensorFlow.
- 01Improved parking spot prediction accuracy by 90% through integration of real-time traffic data using FastAPI
- 02Increased user engagement by 40% through implementation of personalized parking recommendations using TensorFlow
Oracle APEX Cloud Developer
Certified Professional
Served as certified Oracle APEX Cloud Developer, designing and developing cloud-based applications using Oracle APEX.
- 01Developed and deployed 10+ cloud-based applications using Oracle APEX, resulting in 25% increase in user adoption
- 02Improved application performance by 30% through optimization of database queries using Oracle APEX
Education
Unknown Degree
Computer and Networks Engineering
Computer and Networks Engineering Program
- 01Preparatory Classes
Contact
Delivering scalable solutions
Available for senior roles