I am tech enthusiast. I have worked on variety of technologies and it drives me to explore new tech. I have keen interest in machine learning and data science. I have also worked on Django-python.
Working on developing a method to detect fake reviews posted on online platforms based on the review text using text analytics.
Developed a deep learning model for recognition of handwritten digits and built a Django-python web application to provide an interface for the user to upload and identify digits.
A multi-layer neural network for predicting S&P index in python using TensorFlow.
Detect fraud transactions in a given data set using unsupervised algorithms called Isolation Forest and Local Outlier Factor.
Worked on the back-end of a Django-Python web application which provides an interface for faculty to maintain and update marks of students and generate reports and provides an interface for students to view their marks.
Percentage(Till 3rd semester): 88.46%
Percentage: 95.15%
Percentage: 91.00%