I have 5+ year of full-time work experience as a Data Science Professional and 6+ years of consolidated experience in the Data Science & AI field. Currently employed with Airbus Engineering department as an E2 - Engineer/Experienced Data Scientist - Advanced Engineering and System Studies - Health Engineering Team. Solving Business problems using In-Service Aircraft Operations Data, Aircraft Maintenance Historical and Streaming Data, Aircraft Sensor Data, Maintenance Logbooks, Aircraft Condition Monitoring Data, Risk Assessment Data. Deriving actionable insights based on business requirements for Power Plant Safety and Certification Team based out of Toulouse. Projects - - Understanding Engine event Occurrences Trend and Risk Assessment using traditional AI and Generative AI Approaches. - Novel Severe Engine Damage Detection Algorithm Development using Aircraft ECAM Data, Post Flight Reports, Flight Radar and ACMS Data. - Inflight Relight Condition Validation within light Envelope using Aircraft Sensor Data, ACMS, Flight Radar, PFR, etc. - Sustainable and reduced Noise Landing Gear extraction by Analyzing Aircraft Sensor Data. - Inflight Engine Flameout Analysis using Aircraft Sensor Data, ACMS, Flight Radar, PFR, etc. Skills : PySpark, Python, SQL, MATLAB, Git, Github, Machine learning, Deep Learning, Artificial Intelligence, Generative AI, Large Language Models, Digital Logic, etc. Tools : GCP, GCP - Cloud Storage, Vertex AI Studio, PostgreSQL - pgvector, BigQuery, AWS, AWS SageMaker Studio, AWS Bedrock, AWS S3, JupyterLab, Jupyter Notebooks, VS Code, , Code Repositories, Code Workspaces, Code Workbook, Slate, Contour, Google Sheets, Microsoft Excel, PowerBI, Tableau, etc. Engineering Design Tools : I know Creo, Solidworks, AutoCAD, Autodesk Inventor, Ansys, etc. etc. Framework : AGILE/CRISP-DM Learning new things every day! 😊