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Khaled Chaabouni

@khaledchaabouni

NLP Engineer at Orange who automated incoming emails into concise spoken insights with a production-oriented NLP service.

Tunisia

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At Orange, I automated the conversion of incoming emails into concise spoken insights, making critical communications more accessible while reducing information-processing effort. I engineered a production-oriented NLP service using BERT, NLTK, IMAP, Linux scheduling, and Docker.

At Speedykom GmbH, I developed an AI-powered malaria outbreak prediction system in collaboration with GIZ for health organizations in Ethiopia. I integrated environmental, health, socio-economic, geospatial, and NASA satellite data into machine-learning models, then translated predictive outputs into public-health monitoring and visualization tools.

As a Data Science Intern at Poulina Group Holding, I automated unstructured invoice processing, increasing data-extraction efficiency by 300%, and developed a forecasting model for upcoming invoice amounts. I deployed the solution through Django and validated it across diverse invoice formats.

My other work includes developing a credit-scoring model as a Risk Modeler Intern at BFI GROUP and a voice- and text-based banking chatbot as an AI Developer Intern at BIAT. I also enjoy chess, playing piano and guitar, and running a handmade venture creating and selling wooden relics.

Experience

Work history, roles, and key accomplishments

NLP Engineer

Orange

Oct 2025 - Sep 2026 (11 months)

Automated conversion of incoming emails into concise spoken insights, reducing information-processing effort. Engineered a production-oriented NLP service using BERT, NLTK, IMAP, Linux scheduling, and Docker.

BERT NLTK IMAP Linux Docker NLP Automation

Data Scientist

Speedykom GmbH

Jan 2025 - Aug 2025 (7 months)

Drove development of an AI-powered malaria outbreak prediction system in collaboration with GIZ, enabling proactive prevention and resource planning. Integrated environmental, health, socio-economic, geospatial, and NASA satellite data into machine-learning models.

Machine Learning Data Integration Geospatial analysis predictive modeling Visualization

Data Science Intern

Poulina Group Holding

Jun 2024 - Oct 2024 (4 months)

Increased invoice data-extraction efficiency by 300% by automating processing of unstructured invoices. Developed a machine-learning forecasting model for invoice amounts and deployed the solution through Django.

Machine Learning Forecasting Django Automation Data Extraction

Risk Modeler Intern

BFI GROUP

Jan 2024 - Jun 2024 (5 months)

Developed a credit-scoring model achieving 85% accuracy and 0.88 ROC-AUC. Improved predictive performance by ~15% through feature engineering and model optimization, and improved forecasting accuracy by ~20% through time-series analysis.

Credit Scoring Machine Learning Feature Engineering Time Series Analysis Model Optimization

Threat Intelligence Developer Intern

WEVIOO

Jul 2023 - Sep 2023 (2 months)

Credit Scoring Machine Learning Feature Engineering Time Series Analysis Model Optimization

AI Developer Intern

BIAT

Jan 2023 - Jun 2023 (5 months)

Developed a voice- and text-based banking chatbot, expanding automated customer-service capabilities. Built NLP pipelines for processing large document collections and extracting semantic information through NER and word embeddings.

NLP Chatbot Development NER Embeddings Model Deployment