A 2020 batch passed-out engineering graduate from the computer science department. I am a self-taught, goal-oriented data science aspirant. I began my preparation with Python and website scrapping, then gradually developed my understanding of classification, regression, time series, CNN, RNN, NLP, etc. Eventually, I adopted the modular coding practice for an end-to-end project design. Also, learned some MLOPS operations like containerizing the application, initiating the ci-cd pipeline, DVC pipeline, and experiment tracking with tools like docker, DVC, MLFLOW, GitHub actions, etc. I can integrate applications with cloud platforms like AWS and Hugging Face to exploit their services during project design and deployment. I want to improve my understanding of the data science domain further by working on real-time projects.