I leveraged my proficiency in Python to contribute to a Data Analysis & Machine Learning internship at the Code for India Foundation. I utilized libraries such as NLTK (Natural Language Toolkit), spaCy, pandas, SacreBLEU, ROUGE (Recall-Oriented Understudy for Gisting Evaluation), and Meteor. These libraries allowed me to perform robust text preprocessing using NLTK and spaCy, manage the knowledge base efficiently with pandas, and so on. This experience honed my abilities in understanding Natural Language Processing (NLP), text preprocessing techniques, and evaluating machine learning models. The internship also provided an excellent opportunity to develop my ability to learn and adapt to new technologies. It culminated in the successful development of a model and the completion of data analysis for the project.