Worked on the Object-Recognition-System__Infosys_Internship_Feb2025 repository, focusing on developing a lightweight data exploration workflow for an object recognition project. Used Python and Jupyter Notebooks within Google Colab to rapidly prototype and analyze data, enabling faster experimentation in the early stages of the system. Demonstrated disciplined asset lifecycle management by creating an exploratory notebook and subsequently removing it to maintain repository hygiene and reduce long-term maintenance overhead. The approach emphasized maintainability and collaboration, ensuring that only essential artifacts remained in the codebase. The work showcased practical application of data science and machine learning skills in a collaborative development environment.