Technologies that I have worked with so far
Below you will find the projects I have worked on.
These projects include both Web development and Data Science projects.
The website displays products. Users can add and remove products to/from their cart while also specifying the quantity of each item. They can then enter their address and choose Stripe to handle the payment processing.
This is a social network website built on Django Framework, that allows users to post short text-based messages. The users of this application can follow other users to see their posts or unfollow them to stop seeing their posts.
This Application is a web-based platform built using the Django framework that allows users to create, vote, and view the results of polls. The application supports multiple polls creation by different users, with various types of questions, including multiple choice, and open-ended questions.
A todo website designed to be responsive and mobile-friendly built using the Django framework is a web application that allows users to manage their daily tasks and organize their work. The website provides a user-friendly interface for adding, editing, and deleting tasks, as well as setting deadlines and reminders for them.
Chatbot made in Python using Natural Language Toolkit Especially Machine Learning which represents the natural evolution of a Question Answering system leveraging Natural Language Processing (NLP). From a technological point of view, easy to Understand and Implement.
Finding the fraudulent in Health Care Insurance Claim. Acquiring f1 score of 83 %.
Detecting the nearest email template required by the user based on the key words specified by the them.
Finding the optimal number of clusters. Minimizing distortion Creating and analyzing the elbow curve.
Analysis on uninterrupted period of months in which an individual was unemployed/associated with frictional unemployment.
Fetched customized and labelled positive/negative twitter dataset using API of Virat Kohli. Predicted comments using tokenization.
Explanatory analysis on movie dataset
Inspected and cleaned dataset using Python.
The project is based on finding the best 3 agents working for real estate company, based on their continuous follow-ups with client.