Aya Yousfi

Experience

• 

  AIAC Junior-Entreprise

  Oct 2020 - Aug 2022

  • Treasurer

    May 2021 - Aug 2022

  • Vice President

    May 2021 - Aug 2022

  • IT Consultant

    Oct 2020 - May 2021
• 

  LafargeHolcim Maroc

  Jun 2021 - Aug 2021

  Quality Control Intern

  -Monitor the quality of the product by means ofphysico chemical analysis-Collect data related to product composition and characteristics to carry out product quality studies and analysis -Maintain and update collected data related to product quality

• 

  Office National Des Aéroports

  Mar 2022 - Aug 2022

  Continuous improvement Intern

  -Data collection of operational problems at the baggage handling system in Mohammed V's international Airport -Analyse data to get to the core problems-Proposal of improvements to existing processes with Lean-Six Sigma methods (DMAIC, VSM)

• 

  Capgemini Engineering

  Feb 2023 - Aug 2023

  Junior Consultant

  ●Created BPMNs for each activity of the PM center to validate metrics ● Implemented a new reporting system using Excel VBA and Python which helped consolidate deliverables data into valid KPIs ● Generated process reports for continuous follow up of projects evolution (saving up to 90 hours of manual data wrangling) ● Analyzed KPIs reports of each activity using Excel and Python (Pandas, NumPy, Matplotlib) ● Created an interactive dashboard for KPIs visualization in Power BI to present to stakeholders ● Implemented an alert system for deviations in KPIs with Python Show less

• 

  Airbus

  Mar 2024 - Sept 2024

  Data Analyst

  ●Analyzed data from polymerization cycles of A320 aircraft acoustic panels to ensure conformity to standards and acceptance of results ● Engineered an automated analysis solution for the A350 aircraft acoustic panel polymerization cycles, to reduce thermocouples usage and enhance process efficiency Python (Pandas, NumPy, Matplotlib) ● Automated the generation of SAP databases for TICON times of working operations related to various aircraft operation ranges ● Created a Python-based web application using Streamlit to generate comprehensive reports based on the previous analysis of A320 and A350 aircraft acoustic panel cycles, facilitating data extraction, interpretation and decision-making Show less