Listening to podcasts, Watching movies, Going on RoadTrips
Enthusiastic Full Stack Developer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Clear understanding of Front End and Back-end Development and training in Data Science. Motivated to learn, grow and excel at my profession.
In this project, I along with my team designed and build a web application for reviewing books, rating and also displaying reviews from Goodreads using Goodreads API. We have used python to write backend code, PostgreSQL for storing user data and reviews, and deployed our web application using Flask Framework.
Technology used: Python, Flask, PostgreSQL, HTML, CSS.
The main aim of this project is to predict used car selling price based on the dataset obtained from cardheko.com website. Used machine learning algorithm random forest regressor algorithm to build the model and hosted on Heroku using the pickle template. It is developed using python for backend code and deployed using flask as web application.
Technology used: Python, HTML, CSS, Flask, Heroku
It is an online cloud based chatbot which fetches information from online website of an institute and display results to the user upon entering a query. Uses TF-IDF algorithm to match the user queries in database.
Technology used: We used JavaScript, JSP, python and SQL to develop the front end and backend version of the application.
Python
Listening to podcasts, Watching movies, Going on RoadTrips
Big Data Essentials, Coursera- Sept,2020