Engineering Associate
- Automated revisions for a 500+ page LS manual by developing a Python script, saving 10+ hours weekly and reducing errors by 30%.- Designed and implemented a digital asset management system using Python and SQLite, improving file organization, version tracking, and retrieval efficiency, reducing search times by 50%.- Developed a machine learning-based traffic prediction system using Python, TensorFlow, and SQL.-Integrated real-time IoT data to achieve a 92% accuracy rate and visualized insights with an interactive Plotly dashboard, enhancing decision-making for managers.- Collaborated with cross-functional teams to ensure seamless integration of solutions, meeting project deadlines and adhering to organizational standards.