Open to opportunities

emna ayachi

@emnaayachi

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Web development and data-focused intern building SEO-ready full-stack applications.

Tunisia

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What I'm looking for

I’m looking for an entry role where I can build and optimize web products with strong SEO, learn applied data/ML, and contribute to secure, user-focused features. I want a team that values experimentation, testing, and continuous improvement.

I build and maintain client websites using modern frameworks, applying SEO best practices, testing, and performance optimization to help visibility grow. At 360DMMC, I also develop social media growth strategies by analyzing audience engagement and creating viral content.

From my VOICECOM GROUP internship, I processed and analyzed large datasets and compared libraries like Pandas vs. Polars and spaCy vs. NLTK. I also built and evaluated multiple machine learning models using train-test splitting, learning-rate tuning, and activation/loss optimization.

In my Kernel Solutions and Innovation internship, I designed and developed a full-stack MERN application for university peer mentorship and tutoring. I also enjoy solving security challenges through SecuriNets, where I placed 2nd in the mobile security track and 1st in web exploitation, and I keep strengthening my fundamentals with IBM Data Fundamentals.

Experience

Work history, roles, and key accomplishments

Current

Web Development & Social Media

Current

360DMMC

Feb 2026 - Present (5 months)

Built and maintained client websites using modern frameworks, implementing SEO best practices and optimizing performance. Developed social media growth strategies by analyzing audience engagement and creating viral content to increase client visibility.

Web Development SEO Website Optimization Software Testing Social Media Growth Audience Engagement Viral Content Creation

ML Internship

Voicecom Group

Jul 2025 - Aug 2025 (1 month)

Processed and analyzed large real-world datasets, comparing the performance and usability of Pandas vs. Polars and spaCy vs. NLTK. Built and evaluated multiple machine learning models using techniques such as train-test splitting and learning rate tuning.

Python Data Analysis Pandas Polars SpaCy NLTK Machine Learning Train Test Splitting Learning Rate Tuning Model Evaluation

MERN Stack Internship

Kernel Solutions and Innovation

Jun 2025 - Jul 2025 (1 month)

Designed and developed a full-stack MERN application enabling university students to earn income through affordable peer mentorship and tutoring services.

Full Stack MERN Stack MongoDB React Web Application Development