Thibaut JACQUIN

2024: Creation of dashboard under power BI for the internal teams 2022-2023: In the frame of AIRBUS “Maintenance of tomorrow” project • To research and implement predictive maintenance algorithms in order to predict components failure • To research and implement metrics in order to validate the models • To elaborate a demonstrator under Amazon Web Services (AWS)

Responsible for the calculation and publication of the annual brochure “aviation accidents statistics 2019” Authoring of articles for “Safety First” magazine

Customer support to the airlines on CFM56 and IAE V2500 engines In-service incidents analysis: DFDR data analysis, coordination of the investigations with the design office and engine manufacturers (CFM, IAE)

- Implementation of a tracking of the “Major In Service Problems” - Management of the production centers data and project calendar - Root cause analysis - Business control activities (invoicing, production analysis)

• Customer support to the airlines • Check of the operational documentation consistency with aircraft definition • Update of the operational documentation • Follow-up of subcontracted activities (KPI and billing monitoring)

• Identification of the training needs of CAA-C inspectors, • Preparation of a delivery inspector course for CAA-C inspectors, • Participation to the A320 deliveries (aircraft inspections, communication with Chinese inspectors), • Drafting of the work specification for the information provider.

• Follow-up of in-service incidents (gravity, reason and consequences analysis), • Joint analysis with the specialists, • Request of the different actors to bring corrective actions, • Customer support to the operators on safety and regulatory issues, • Organisation and animation of the Airworthiness Review Meetings with EASA and GSAC, • ETOPS agreement follow-up.

Interim mission (Derichebourg) at ATR inside the Maintenance Engineering Department: Edition of the new revision of the Maintenance Review Board Report: • Check of the maintenance documentation consistency (MPD, JIC), • Follow-up of the documentary change of tool for the edition of the manual.

Implementation of a quotation tool of the working parties in the frame of aircraft accidents: • Analysis of the major in service incidents and commercial proposals, • Revaluation of the repair costs (man hours, spares, tools rental).

As a subcontractor for EADS Sogerma Services, I worked on the certification in fatigue and damage tolerance of the A340-500 HGW door frame area: • Extraction and exploitation of the local finite element model data, • Equivalent stress generation, • Fatigue and damage tolerance substantiations.

As a subcontractor for Airbus France company, I worked on the A300, A310 and Transall life extension programs: • In service and fatigue test damage analysis, • Maintenance analysis (MRB, SSI, SB, RAS), • Fatigue and damage tolerance substantiations in the frame of the WFD, • Definition and / or extension of the maintenance tasks (ACD, AJD, ALI).

Python: numpy, pandas, matplotlib, seaborn Machine Learning with Scikit-learn and PySpark: classification algorithm, clustering, regression, dimension reduction methods, time series, sentiment and text analysis Deep Learning with Keras and Tensorflow, deep reinforcement learning