Khaoula Fedda

Experience

• 

  AMEXS

  Jul 2020 - Sept 2020

  Software Development Engineer
• 

  Wings Technologies

  Aug 2021 - Oct 2021

  • Data Scientist

    Sept 2021 - Oct 2021

  • Software Engineer

    Aug 2021 - Sept 2021
• 

  MNF SYSTEM

  Mar 2022 - Jul 2022

  Business Intelligence Intern
• 

  ALTEN MAROC

  Dec 2022 - now

  Data Scientist

  -Analyzing Client Requirements and Drafting Specifications : Collaborated closely with clients to comprehensively understand their requirements. Conducted thorough analysis of client needs, translating them into detailed functional and technical specifications.-Development of Key Performance Indicators (KPIs) : Employed PySpark and Python to analyze data and formulas, laying the groundwork for KPI development. Initiated the development of KPIs tailored to meet specific client objectives and performance metrics.-Automation of Data Pipelines : Implemented automation solutions using Apache Airflow to streamline and orchestrate data pipelines, enhancing efficiency and reliability in data processing through the automation of routine tasks.-Data Quality Assurance and ETL Processes : Maintained rigorous data quality standards within the database through meticulous validation and cleansing procedures, resulting in a 25% reduction in data and memory errors, and contributed to the design and execution of Extract, Transform, Load (ETL) processes, optimizing data flow and accessibility.-Power BI Dashboard Creation : Developed visually compelling and insightful Power BI dashboards to present complex data in a user-friendly manner and incorporated interactive features and real-time updates to facilitate data-driven decision-making.-Optimization of PySpark Scripts : Spearheaded the identification and resolution of performance bottlenecks in PySpark scripts, resulting in a 30% improvement in processing speed and enhanced resource utilization, while conducting thorough code reviews and implementing best practices to ensure optimal script efficiency.-Machine Learning Model Design : Applied machine learning techniques to design models for assessing vehicle acoustic performance. Show less