The project involves scraping andmodeling payment data for Indian Public Service Schemes.Using Machine Learning to analyze and predict instances of Rejected Payments in the Indian Public Service SchemeBank Transfers.

The project involved analysis of the market data generated by marketing team. Modelling, cleaning, and presenting the leads to the sales team, in an easy interface. Since there are multiple members in the sales team the portal had built in features of assignment of leads, conversion of leads and analytics built in to it.

A platform for NGOs and civil service organisations to make broadcast calls to their volunteers/ people. The system was using cloud based telephony API services at the back to enable voice calls. They system allowed NGOs to place voice calls, specify the date and time of broadcast and then access the reports related to broadcast.

The project involved analysis of public data available on the government websites of India. Scrape, model and cleandata and make it available in easy to read, customized reports for various civil service organisations. Focus was on developing usable data dashboards, information and communication technologies to improve dissemination and grievance redress systems.

Analysis of Payment Delays and Delay Compensation in MGNREGA Findings across Ten States for Financial Year 2016-17