
During March 2025, Vivek Nair developed a comprehensive Exploratory Data Analysis notebook for the AabidMK/Object-Recognition-System__Infosys_Internship_Feb2025 repository. Using Python and Jupyter Notebook, he focused on data loading, cleaning, and visualization to provide a clear understanding of the dataset’s structure and patterns. His approach enabled the identification of key characteristics necessary for informed feature engineering and subsequent model development. By integrating data analysis and visualization techniques, Vivek facilitated a data-driven workflow that supports faster model iteration. The depth of the EDA work ensured that downstream tasks could proceed with a well-characterized dataset, laying a solid foundation for the project.
March 2025 – Object Recognition System project: Delivered a comprehensive Exploratory Data Analysis (EDA) notebook to facilitate dataset understanding for the Infosys internship project. The notebook encompasses data loading, cleaning, visualization, and preliminary analysis to characterize dataset characteristics and patterns, enabling informed feature engineering and model development. Key commit: 7c35b9eca860cb6e230b643e0b72c2a766e81d5d (EDA added).
March 2025 – Object Recognition System project: Delivered a comprehensive Exploratory Data Analysis (EDA) notebook to facilitate dataset understanding for the Infosys internship project. The notebook encompasses data loading, cleaning, visualization, and preliminary analysis to characterize dataset characteristics and patterns, enabling informed feature engineering and model development. Key commit: 7c35b9eca860cb6e230b643e0b72c2a766e81d5d (EDA added).

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