Yassine Letaief

Transforming aerospace through data and AI

Design, management, and delivery of AI and analytics projects.

Recent achievements:

Full deployment of a Data Warehouse for cyber data, including team leadership and data product design.

Implementation of an innovative method for estimating critical material supply (titanium, aluminum, and steel) to factories, using warehouse data and aircraft Bill of Materials.

Development of advanced methods to standardize aircraft cabin modernization (upgrades) projects through analytics.

Standardization of the A220 program by using advanced analysis on Bill of Materials data.

Leadership of the commercial offering “Data for Competitiveness”.

Leadership of the internal team (squad of 15 people) dedicated to AI, focused on training and upskilling teams in artificial intelligence.

Business and digital transformation in the aerospace sector

Leadership of strategic and digital transformation projects for major players in the aerospace industry.

Typical projects:

Strategic audit of an MRO player: Analysis of technological positioning, service offering, and industrial footprint.

Cash-out Management: Design and deployment of an analytical tool dedicated to cash-out management for an aircraft manufacturer.

AI-driven costing automation: Development and implementation of an artificial intelligence-based cost estimation solution for an aircraft manufacturer.

Close collaboration with consultants, data scientists, and business experts to transform customer data into operational performance levers.

Application of Machine Learning (ML) to complex real-world datasets.

Silver medal at the Santander competition 2019.

Machine Learning and Deep Learning:

Scikit-Learn, Keras, TensorFlow, LightGBM, CatBoost, etc.

Frameworks:

Python, Anaconda, Jupyter Notebooks

Data analysis, preparation (wrangling), and visualization:

Pandas, Seaborn, Matplotlib, PowerBI, D3.js