I'm associated with many machine learning & deep learning projects for the last two years. My work includes data scraping, data preprocessing, data analysis, data mining, multiple NLP applications for problems relating to regression and classification. Furthermore, as I've worked on Deep learning, I have learned the art of computer vision problems like image classification, object detection, image captioning, image segmentation.

I've adequte skill relating to Beautiful Soup, selinium, & Scrapy. Web scraping simplifies the process of extracting data, speeds it up by automating it and creates easy access. Furthermore, Data visualization helps to tell stories by curating data into a form easier to understand, highlighting the trends and outliers where I've enough experience in python's plotting libraries such as Matplotlib & Seaborn.

I can also develop web applications using Flask & Django, creating good use of my machine learning applications. Flask's framework is more explicit than Django's because it has less base code to implement a simple Web-Application whereas Django speeds up the development process greatly instead, as you do not have to code everything from scratch. I can use both depending upon the product's scope.