
Developed a comprehensive Exploratory Data Analysis notebook for the Object-Recognition-System__Infosys_Internship_Feb2025 repository, focusing on enabling deeper understanding of the project dataset. The work involved loading, cleaning, and visualizing data using Python and Jupyter Notebook, with an emphasis on uncovering key patterns and characteristics to inform subsequent feature engineering and model development. By structuring the analysis to highlight relevant trends and anomalies, the notebook facilitated more efficient iteration during the early stages of the object recognition system. The approach demonstrated proficiency in data analysis and visualization, providing a clear foundation for downstream machine learning tasks within the project scope.
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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