As a Data Engineer specializing in the dynamic field of active safety at Volvo Cars, I work diligently to build robust systems that collect, manage, and transform raw data into actionable insights. My role is pivotal in empowering data scientists and business analysts to interpret and leverage information effectively. My ultimate goal is to make data easily accessible, enabling organizations to evaluate and optimize performance. I'm certified in Microsoft Azure Data Fundamentals (DP-900), with a strong foundation in cloud concepts, data analytics, and Azure database services. Skills: • Programming Languages: Python, Javascript, C/C++, MATLAB/Simulink • Proficiency with Python and use of Python libraries used for parallel computing and delivering large-scale software projects utilizing Python. • Experience with Web Programming with Python and JavaScript • Experience with shell scripting. • Cloud Platforms: Azure • Databases: MySQL, PostgreSQL • Integrated Development Environments (IDEs): PyCharm, Visual Studio • Machine Learning Frameworks: TensorFlow, NumPy, Pandas, OpenCV, PyTorch • Leverages DevOps techniques and Experience with DevOps tools like GitLab, Gerrit and Jenkins • Continuous Integration/Continuous Deployment (CI/CD) Practices: Jenkins automation, unit testing, code quality checks • Experience working in a UNIX/LINUX environment. • Proficiency with Containerization tools Docker • Data Processing and Manipulation: ETL processes • Data Visualization and Reporting: Tableau, Power BI, Matplotlib • Theoretical Knowledge: Dynamics, control theory, sensor fusion, optimization • Leadership Skills: Leading teams, conducting code reviews