HELLO, I'M

EMNA CHEBBI

Software Engineering Student

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Emna Chebbi

About Me

Passionate software engineer specializing in full-stack development, DevOps, and data-driven solutions

Who am I?

I'm a motivated software engineering student at International Polytechnic School, passionate about technology, innovation, and solving complex problems. With strong analytical skills and hands-on experience in full-stack development and data analysis, I'm eager to apply my knowledge to real-world challenges and build impactful digital solutions.

🎯 Why Work With Me? Curious and goal-driven, I tackle challenges with a problem-solving mindset. I strive to create intelligent, data-driven, and scalable solutions that make an impact.

📬 Let's Connect! Open to internships and projects in data science, AI, and full-stack development. Always eager to learn and collaborate!

GitHub @Emna-chebbi
LinkedIn Emna Chebbi

Skills & Technologies

Comprehensive stack of technologies and tools I work with across development, data, and enterprise solutions

Development & DevOps

React JS Node JS Angular Next.js Django Flutter Python Docker Kubernetes SonarQube

Data & Analytics

MongoDB SQL Power BI Data Processing Data Visualization Database Management

Enterprise & Methods

SAP Agile Methods Scrum Figma GitHub DevOps Practices

Professional Experience

A selection of my key internship experiences that helped me develop practical skills and industry knowledge

PASS Consulting Group

June – July 2025

Full-Stack Development in Agile Environment

Contributed to company projects using full-stack technologies and agile development methodologies in a professional consulting environment.

  • Developed backend features using Java
  • Built frontend components with Angular
  • Utilized PAM for security and access management
  • Collaborated using Slack and Jira in agile workflow
  • Participated in full software development lifecycle
Java Angular PAM Agile Jira Full-Stack

CSI International

June – July 2024

ERP Development & Customization

Worked on customizing ERP reporting tools and developed a data management program in QAD to streamline supplier management.

  • Customized ERP reporting tools to streamline supplier management
  • Developed Progress 4GL programs for QAD databases
  • Automated item creation process with real-time validation
  • Designed CSV import feature with seamless data validation
  • Created efficient item export system
ERP Systems QAD Progress 4GL Data Management CSV Processing

My Recent Projects

Showcasing my technical skills through real-world applications and innovative solutions

DevOps CI/CD Pipeline for Application

Designed and implemented a complete CI/CD pipeline for a Spring Boot application using Jenkins, Maven, SonarQube, Selenium, Docker, and Kubernetes, automating build, unit and UI tests, code quality analysis, containerization, and deployment.

Jenkins Docker Kubernetes SonarQube Selenium CI/CD

AI-Powered Recruitment & Job Portal

Developed a secure job recruitment platform enabling admin-verified recruiters to publish job offers and candidates to apply, integrating AI-driven ATS resume analysis, personalized job recommendations, and generative AI-based recruiter email responses.

AI Integration ATS System Job Portal Generative AI Full-Stack

Banking Payment & Fraud Orchestration

Built an enterprise integration platform with MuleSoft, orchestrating real-time payments, fraud detection, and multi-channel notifications by integrating microservices, Web Service APIs, and communication patterns.

MuleSoft Microservices Fraud Detection API Integration Enterprise

University Management System – Microservices

University Management System built with Spring Boot microservices, Eureka service discovery, Spring Cloud Gateway, and a React frontend for managing universities and courses.

Microservices Spring Boot React Eureka Spring Cloud

Big Data Project

Engineered a scalable pipeline in Cloudera integrating Kafka, Flume, and Sqoop to automate ingestion from relational DBs to Hadoop clusters.

Big Data Cloudera Hadoop Kafka

Census Income Classification

Worked on a project aims to classify individuals based on census income data using a machine learning model. The classification is intended to predict whether an individual's income is above or below a certain threshold, based on various demographic and employment features.

AI Machine Learning Model Training

Certifications

Professional certifications and courses that have enhanced my technical skills and knowledge

DELF B2 French Language Certificate

French Ministry of Education

Official certification of French language proficiency at B2 level according to the Common European Framework of Reference for Languages.

IELTS Academic C1 Certificate

British Council

International English Language Testing System certification demonstrating C1 level English proficiency.

AWS Cloud Foundations

AWS Academy

Comprehensive understanding of AWS cloud concepts, services, security, architecture, and pricing.

IT Specialist: Databases

Certiport

Demonstrated proficiency in database concepts, SQL queries, normalization, and database management systems.

IT Specialist: Java

Certiport

Certified in Java programming fundamentals, OOP concepts, data structures, and application development.

Scrum Master Certification

LearnQuest

Certified in Agile methodologies, Scrum framework, team facilitation, and project management principles.

IT Specialist: Python

Certiport

Certified in Python programming fundamentals, data structures, OOP, algorithms, and problem-solving techniques for software development applications.

Machine Learning Certificate

365 Data Science

Comprehensive training in machine learning algorithms, data preprocessing, model evaluation, feature engineering, and AI applications using Python libraries.

Get In Touch

Feel free to reach out for collaboration opportunities or just to say hello

Phone

+216 29009266

Email

emna.chebby19@gmail.com

Resume

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