Smaïl Darbane

Smaïl Darbane - Data Scientist & Machine Learning Engineer

Expertise:

I am a passionate Data Scientist and ML Engineer, specializing in developing solutions based on data science and artificial intelligence to address complex business problems. My experience ranges from revenue management and demand forecasting to customer behavioral analysis, including the deployment of large-scale ML models in industrial environments.

Education:

MSc in Data Science for Customer Knowledge - ENSAI

Engineer's Degree in Signal Processing and AI - INP-ENSEIRB-MATMECA

Master's in Data Science and AI - Polytechnic University of Madrid

Technical Skills:

Languages: Python, SQL, Spark

Frameworks: PyTorch, TensorFlow

Visualization: Power BI, Looker Studio

Cloud: Google Cloud Platform (GCP) (BigQuery, Vertex AI)

CI/CD: Automated deployment of ML pipelines

Achievements:

Air France KLM: Optimization of revenue management systems and development of demand forecasting algorithms.

TotalEnergies: Fraud detection in high-constraint environments.

Fujitsu: Financial data generation and predictive analysis.

NLP Projects: Advanced applications in natural language processing (topic modeling, word embeddings, sentiment analysis).

Pedagogy and Training:

Head of the AI track for the AN21 Master's in Cybersecurity in 2021

Led AI training sessions for companies like B&B Hotels and Jayus, covering topics such as supervised and unsupervised machine learning, and data visualization tools.