Available for hire

Data Scientist & Software Developer

Turning raw data into meaningful insights

Final-year computer science student with a passion for machine learning, data analytics, and building intelligent systems that create real-world impact.

  • 📊 Data Analysis & Visualization
  • 🤖 Machine Learning Model Development
  • 🗄️ ETL Pipelines & Data Warehousing
  • 🌐 Web & Mobile App Development
4+
Projects
1K+
On LinkedIn
2+
Years IEEE

Data-driven by nature, curious by choice

I'm a final-year Computer Science student with a focus on data science and machine learning. I'm passionate about extracting knowledge from complex datasets, building predictive models, and transforming raw numbers into actionable intelligence.

My technical toolkit spans the full data pipeline — from data wrangling and preprocessing with Python and SQL, to building and evaluating machine learning models with scikit-learn, to communicating results through interactive dashboards in Power BI. I also have strong software development skills that let me deploy models into real applications.

Beyond the code, I'm driven by a curiosity about how data shapes decisions — in agriculture, education, business, and beyond. I believe the best data scientists are not just analysts but storytellers who make numbers speak.

"Curious, creative and committed to turning data into decisions that matter."
Data science animation

Tools of the trade

Machine Learning

scikit-learn · NumPy · Pandas · model training · classification · regression · data preprocessing

Data & Analytics

SQL · Power BI · Excel · SSMS · SSIS · Talend · ETL pipelines · data warehousing

Programming

Python · Java · JavaScript · PHP · C · problem solving

Web & Mobile

React · HTML · CSS · Laravel · Flutter · Supabase · REST APIs

Big Data & Tools

Hadoop · Git · version control · collaborative development

Design

Adobe Illustrator · data visualization · dashboard design

Associative life

  • Member – IEEE ISIMS Student Branch (October 2023 – Present)
  • Webmaster – IEEE WIE ISIMS Affinity Group (April 2024 – October 2024)
  • Ambassador – WIE ACT 3.0 (2024) · IEEEXtreme 18.0 (2024)
  • Participant – IEEEXtreme 17.0 (2023) · 18.0 (2024) · 19.0 (2025)
  • Participant – IEEE TSYP 11 (2023)
  • Participant – IEEE PESTGM 5.0 · TSYP 12 (2024)
  • Participant – IEEE CSTAM 2.0 · IEEE IASTAM 5.0 (2025)

Selected projects

Machine Learning · Python

Crop Recommendation System

Machine learning API that recommends optimal crops based on environmental data. Built a full pipeline: data preprocessing, normalization, and a trained classification model using NumPy and scikit-learn.

JavaScript · Web

JavaScript Quiz Game

Interactive quiz game with dynamic scoring, real-time UI updates, and an engaging user interface — built entirely in vanilla JavaScript.

Flutter · Mobile

E-learning Platform

Full-featured mobile e-learning application developed with Flutter and Supabase during a mobile developer internship, supporting course management and user progress tracking.

HTML · CSS · JavaScript

Personal Portfolio

This very site — designed and built from scratch to showcase projects, skills, and professional achievements, with EmailJS integration for contact.

Let's build something together

Data Analysis

Turn your raw data into clear dashboards, reports, and actionable recommendations using Python, SQL, and Power BI.

ML Model Development

Design, train, and deploy classification, regression, or recommendation models tailored to your business problem.

ETL & Data Pipelines

Build robust ETL workflows and data warehouses using SSIS, Talend, SQL Server, and Hadoop for scalable data infrastructure.

Web & Mobile Apps

Develop full-stack web apps with React and Laravel, or cross-platform mobile apps with Flutter and Supabase.

Based in Tunisia · Open to remote worldwide · Available for internships, freelance & full-time roles

Let's work together

I'm open to data science internships, collaborative projects, and research opportunities. Whether you have a dataset to make sense of or an idea to build — let's talk.