This project is about predicting future stock price of a company using machine learning algorithms especially using regression technique.

Worked on analyzing the restaurant data to show how location play an important factor in the ratings given by the customers.

Web portal where the students can give reviews for their professor using MongoDB, Node.js, CSS, HTML. 

Worked on building a predictive model by considering multicollinearity and other Machine learning concepts related to  factors or variables using R programming. 

Worked on building a predictive model by considering multi collinearity and applying regression technique as well as other machine learning concepts related to  factors or variables using SAS progr…

Building a parser in python which can parse the GEDCOM file and testing several user stories on the summary of Individual’s  and family’s data.

Worked on building a predictive model using IBM SPSS modeler and visualization using IBM Watson Analytics.

Creating requirements for the System, deciding the users who will be using this system, defining constraints, creating relations, primary keys, foreign keys etc. Performed operations using PostgreS…

‘Feedback Machine’ that acts as a medium for taking feedback from the end-users. This application is especially for the startup owners or managers or any organization requiring feedback from their …