Asmaa Amehraye Fillatre Email & Phone Number

Madrid, Es

Sophia Antipolis, France, Fr

Volume: 32 hours (Lesson + labs)Audience: Master of Science (M.Sc.), Applied Mathematics and Modelling-Natural Language Processing fundamentals -Natural Language Processing with Deep Learning -Transformers / Large Language Models-ChatGPT / Prompt engineering

Madrid, Es

Madrid, Es

Leading travelers analytics projects within Amadeus Data unit:- Build advanced analytics and artificial intelligence (AI) models to understand the profile of customers transacting with an airline through various touchpoints and generate deeper insights about them to derive business opportunities : understanding and modelling the passengers profiles, their trips purpose,their behavior when they were newcomers, their predicted CLV and when/why they are susceptible to churn.- Collaborate with R&D teams to enhance Amadeus products with ML and data science stack : drive the developments and clarified business requirements- Analyze business requirements from customers via Requests for Proposal and customer workshops- Present the solutions, business capabilities as well as deep-dive into features description to IT and business people

Madrid, Es

Design data science consulting projects for airlines- Airline customers churn prediction- Airline first timers repeat booking prediction- Image classification with transfer learning and deep learning- Customer Lifetime Value prediction with probabilistic models- Sales channel mix analytics- Forecasting airlines revenue with deep learning (LSTM)- Analysis of market dynamics and performance indicators for airlines.- Autoencoder-based Anomaly detection on airline schedules- Analytics with Tableau dashboards

Sophia Antipolis, Alpes-Côte D'Azur, Fr

Involved in ALIAS project (AAL Call 2: http://www.aal-europe.eu/projects/alias/). Adaptable Ambient LIving ASsistant, a European project with total budget of 4 million euros and 9 partners. The goal of ALIAS project is the product development of a mobile robot system that interacts with elderly users, monitors and provides cognitive assistance in daily lifeMain works:- Speaker recognition and diarization system using the open-source platform ALIZE- New voice activity detector by means of semiparametric approach - Speech overlapping detection techniques to outperform speaker diarization- Study of approaches to detect spoofed speech signals

Villejuif, Ile De France, Fr

- Research activities:Involved in Companionable project (EU-funded FP7: https://www.tu-ilmenau.de/neurob/projects/finished-projects/companionable/ ). Integrated Cognitive Assistive and Domotic Companion Robotic systems for Ability and Security, a European project with total budget of 10.72 million euros and 17 partners. The goal of Companionable project is to provide the synergy of Robotics and Ambient Intelligence technologies and their semantic integration to provide for a care-givers assistive environment. Main works:- Recognition of daily life's sounds- Semiparametric detection approach- New optimal filtering for unmasked noise preventionTeaching activities:- Signal processing theory- Information theory- Image processing and compression- Numerical Algebra- C programmingMiscellaneous : - General chair of the workshop “ STIC et santé ”, March 31, 2011, ESIGETEL, Fontainebleau

Palaiseau, Fr

Involved in Compnaionable project (EU-funded FP7: https://www.tu-ilmenau.de/neurob/projects/finished-projects/companionable/) and the ANR project MyBlog3D. The goal of MyBlog3D is the mutual perception between internet users within a 3D virtual space.main works:- Multimodal dialog systems- Automatic Speech Recognition - Acoustic models adaptation

Campus Brest, Nantes Et Rennes, Une École Imt, Fr

Thesis : Perceptual speech enhancement- State of the art of speech denoising, speech enhancement, spectral noise estimation, speech detection, and perceptual filtering techniques- Perceptual improvement of wiener filtering to reduce speech artefacts- New optimal filtering based on maskee to audible noise - HMM-based Automatic Speech recognition system

Phd, Computer Science, Speech Enhancement

Master 2 Sstim, Big Data Processing And Machine Learning