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I help organizations transform raw data into actionable, high-impact solutions. With a Master’s in Applied Mathematics & Statistics and hands-on experience building a real-time fraud detection pipeline at Attijari IT Africa, I specialize in designing and deploying machine learning models in production. I thrive on projects that combine analytical rigor with technological pragmatism, delivering solutions that drive measurable business outcomes. Fluent in Spanish, French, and English, I collaborate effectively across diverse teams and international contexts.…I help organizations transform raw data into actionable, high-impact solutions. With a Master’s in Applied Mathematics & Statistics and hands-on experience building a real-time fraud detection pipeline at Attijari IT Africa, I specialize in designing and deploying machine learning models in production. I thrive on projects that combine analytical rigor with technological pragmatism, delivering solutions that drive measurable business outcomes. Fluent in Spanish, French, and English, I collaborate effectively across diverse teams and international contexts.

Sofiane Hibbah Falaki

Data Scientist, Data Analyst, AI Engineer, +1

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I help organizations transform raw data into actionable, high-impact solutions. With a Master’s in Applied Mathematics & Statistics and hands-on experience building a real-time fraud detection pipeline at Attijari IT Africa, I specialize in designing and deploying machine learning models in production. I thrive on projects that combine analytical rigor with technological pragmatism, delivering solutions that drive measurable business outcomes. Fluent in Spanish, French, and English, I collaborate effectively across diverse teams and international contexts.…I help organizations transform raw data into actionable, high-impact solutions. With a Master’s in Applied Mathematics & Statistics and hands-on experience building a real-time fraud detection pipeline at Attijari IT Africa, I specialize in designing and deploying machine learning models in production. I thrive on projects that combine analytical rigor with technological pragmatism, delivering solutions that drive measurable business outcomes. Fluent in Spanish, French, and English, I collaborate effectively across diverse teams and international contexts.

Available to hire

I help organizations transform raw data into actionable, high-impact solutions. With a Master’s in Applied Mathematics & Statistics and hands-on experience building a real-time fraud detection pipeline at Attijari IT Africa, I specialize in designing and deploying machine learning models in production. I thrive on projects that combine analytical rigor with technological pragmatism, delivering solutions that drive measurable business outcomes. Fluent in Spanish, French, and English, I collaborate effectively across diverse teams and international contexts.

Skills

Experience Level

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

Spanish; Castilian

Fluent

Arabic

Fluent

English

Advanced

French

Advanced

Work Experience

Data Science Intern at Attijari IT Africa, Casablanca, Morocco

February 1, 2025 - July 1, 2025

Real-time SEPA payment anomaly detection; developed end-to-end data and ML solutions from ingestion to feature engineering to model deployment on scalable cloud and containerized environments. Implemented automated monitoring workflows via Airflow and container orchestration.

Research Intern – Data Science (Applied Mathematics) at Attijari ITA Africa

February 1, 2025 - July 1, 2025

Laid the foundation for a data ingestion and ML inference pipeline for anomaly detection in SEPA payments. Implemented Isolation Forest and clustering for unsupervised anomaly detection, built a FastAPI microservice for ML inference, and containerized with Docker with orchestration via Kubernetes. Established Airflow-driven data workflows, enabling end-to-end data processing (ingestion → ML inference → monitoring). Delivered a production-ready data flow from data to ML to monitoring, including model evaluation (F1 score ~0.84 on labeled data) and performance optimizations.

Research Intern at Université de Nîmes, France

February 1, 2023 - March 31, 2023

Applied Mathematics for Data Design: the entire data pipeline including ingestion workflows, data structuring, and behavioral feature engineering for SEPA transactions. Built an unsupervised detection system (Isolation Forest + Clustering) achieving 0.84 F1-score with unlabeled data.