asmahdiji24 asmahdijiAA
Open to opportunities

asmahdiji24 asmahdiji

@asmahdiji24asmahdiji

AI and data science enthusiast with a passion for innovative solutions.

Tunisia

What I'm looking for

I am looking for a role that fosters innovation and allows me to apply my AI and data science skills in a collaborative environment, with opportunities for growth and impactful projects.

I am a Computer Science graduate with the highest distinction from the Higher Institute of Computer Science El Manar (ISI). My passion lies in AI, data science, and developing real-time intelligent systems. I am motivated to leverage my academic knowledge and project experience to tackle real-world challenges and contribute to impactful solutions.

During my internship at Tunisie Telecom, I designed and developed a real-time AI system for detecting fraudulent calls, utilizing advanced models like GAT-COBO and integrating LightGBM for fraud classification. My experience as a .NET Developer Intern at BFPME Bank further strengthened my backend development skills, where I collaborated on various banking projects. I have also developed several projects, including an AI-based fraud detection system and an indoor plant e-commerce website, showcasing my ability to apply technical skills in practical scenarios.

Experience

Work history, roles, and key accomplishments

TT

AI Intern – Fraudulent Call Detection

Tunisie Telecom

Feb 2025 - Present (4 months)

Designed and developed a real-time AI system to detect fraudulent calls in telecom networks, applying cost-sensitive learning and attention-based GAT models (GAT-COBO) to handle severe class imbalance. Integrated LightGBM classifier for fraud type identification and built an end-to-end pipeline including feature engineering, graph updates, fraud classification, and result storage in MySQL.

TT

AI Intern – Fraudulent Call Detection

Tunisie Telecom

Feb 2025 - Present (4 months)

Designed and developed a real-time AI system to detect fraudulent calls in telecom networks, applying cost-sensitive learning and attention-based GAT models (GAT-COBO) to handle severe class imbalance. Integrated LightGBM classifier for fraud type identification and built an end-to-end pipeline including feature engineering, graph updates, fraud classification, and result storage in MySQL.

Education

Degrees, certifications, and relevant coursework

H(

Higher Institute of Computer Science El Manar (ISI)

Bachelor's Degree, Computer Science

Completed a Bachelor's Degree in Computer Science with the highest distinction. Focused on core computer science principles and advanced topics relevant to AI and data science.

LK

Lycée Kheireddine

Baccalaureate, Experimental Sciences

Obtained a Baccalaureate in Experimental Sciences. This foundational education provided a strong basis in scientific principles and analytical thinking.

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asmahdiji24 asmahdiji - AI Intern – Fraudulent Call Detection - Tunisie Telecom | Himalayas