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Eya Bouhouch

@eyabouhouch

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Computer Science Engineer specialized in Data Science building AI-driven solutions for real-world problems.

Tunisia

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What I'm looking for

I seek roles applying AI/ML to production systems where I can build end-to-end models, work with cloud and MLOps practices, and contribute to impactful, collaborative teams.

I am a Computer Science Engineer specialized in Data Science with hands-on experience designing and developing AI solutions, notably a real-time medical callbot integrating speech recognition, NLP, and text-to-speech technologies.

During internships at EY Tunisia and other organizations I built and deployed machine learning and deep learning models, automated QA processes using LLMs, and developed intelligent image-based and fraud-detection applications for financial and quality domains.

I am proficient in end-to-end data workflows: data preprocessing, feature engineering, model building, deployment, and system integration using tools like Redis, Kafka, FastAPI and cloud services.

I bring adaptability, strong problem-solving, and teamwork skills, and I am motivated to apply my AI and data science expertise to impactful, production-grade projects.

Experience

Work history, roles, and key accomplishments

Computer Science Engineer

EY Tunisia

Mar 2025 - Jul 2025 (4 months)

Designed and developed a real-time AI medical callbot for appointment management using speech recognition, NLP and TTS, integrating Google Calendar/Contacts and real-time pipelines to improve automation and scheduling accuracy.

Speech Recognition NLP Text To Speech Kafka Redis VAD

Automation Intern

ABS Computer

Jul 2024 - Aug 2024 (1 month)

Automated quality-department testing by developing an intelligent image-based A/B testing solution and LLM-driven PTS-QA plugin, improving test efficiency and accuracy.

LLM LangGraph Selenium fastAPI

AI Development Intern

Bouhouch

Jun 2023 - Jul 2023 (1 month)

Developed an intelligent application to detect fraudulent banking transactions using RNNs and autoencoders, improving anomaly detection capabilities.

RNN Anomaly Detection Python Machine Learning

Education

Degrees, certifications, and relevant coursework

Faculty of Sciences of Tunis

Engineering degree, Data Science

2022 - 2025

Activities and societies: Member of Google Developer Student Club and IEEE FST CS Chapter; projects include emotion recognition, chatbot, dashboards with Power BI and D3, and malicious URL detection.

Engineering cycle in Data Science combining coursework and practical projects focused on machine learning, deep learning, NLP, and data engineering.