Feynn Labs internship was almost like a hands-on workshop for 2 months where I experienced the real work culture and its tasks. In this internship, I applied my theoretical machine-learning knowledge to practical applications. Also, I learned how to write a project requirement report, which is the foundation for project building. Even though in my last project in the internship, I got only 67 per cent as my accuracy score in the house rent prediction project, I have learned lots of new things which is essential for practical application. It was my first work experience, and it introduced me how the corporate life and IT jobs.

It was a virtual training and internship programme in which I gained deep knowledge on how to use data analytics tools like Excel, MYSQL and Python more efficiently. The data preparation part was difficult, but it gave me experience with those data analytics tools. Every task was challenging and interesting. That is, I analyzed the dataset with 100 plus features and 10,000 plus records. I also presented my findings from the data analysis of the given dataset in a video recording. Overall, in this internship, my proficiency in data analytics tools increased by 50 per cent.