Aya

Skills

Proficient in machine learning algorithms and techniques
Experience with data preprocessing, feature engineering, and model evaluation
Deep understanding of neural networks and other AI models
Familiarity with frameworks such as TensorFlow and PyTorch
Knowledge of natural language processing (NLP) and computer vision
Strong skills in Python programming and libraries (NumPy, Pandas, etc.) for AI development
Understanding of AI ethics and responsible AI practices
Experience in handling big data and scalable AI solutions
Familiarity with version control systems like Git and continuous integration tools
Knowledge of Agile methodologies and tools like Jira for project management

Experience with profiling and debugging mobile applications
Extensive knowledge about mobile app development
Familiarity with Web Service (REST API)
Proficiency with writing automated tests
Familiarity with Git and Jenkins
Familiarity with Agile principles and values
Experience with the Scrum framework
Familiar with Atlassian products such as Jira and Confluence

Experiences

EXPERIO

PFA Internship as a FullStack Developer (Mobile & ODOO)

June 2023 - August 2023

Automation of Accounting Entries with an AI-Based ERP System and a Flutter Mobile Application

Development of an ERP solution using Odoo, Python, and PostgreSQL, incorporating AI to automate accounting entries and including a Flutter mobile application for managing entries from mobile devices.

EXPERIO

PFE Internship as a Mobile Developer (Flutter)

February 2024 - July 2024

AI-Enhanced Cross-Platform Mobile Application for Accounting Document Exchange

Design and development of an intelligent cross-platform mobile application using Flutter and Dart, integrated with AI capabilities :

Implemented natural language processing (NLP) for automated document classification and information extraction
Developed a machine learning model for anomaly detection in financial transactions
Integrated computer vision techniques for OCR and automated data entry from scanned documents
Created an AI-powered chatbot for user assistance and query resolution
Utilized federated learning to improve data privacy while enhancing the AI model's performance across multiple users

Projects

Chatbot for Student Services :

Developed a rule-based chatbot using Python to answer common student queries
Integrated basic natural language processing for intent recognition
Implemented the chatbot as a web application using Flask

Movie Recommendation System

Developed a collaborative filtering-based recommendation system
Used the MovieLens dataset and implemented the algorithm in Python
Created a simple web interface for users to receive personalized movie recommendations

Image Classification with Convolutional Neural Networks

Created a CNN using TensorFlow to classify images from the CIFAR-10 dataset
Implemented data augmentation to improve model performance
Reached 88% accuracy in classifying images into 10 categories

AYA Bouchantouf