Projects
Data Warehousing and Analytics for Public Health Insurance
The project is about providing a next generation and state-of-the-art Analytical Ecosystem as required at Dr.NTRVST for addressing the two fold objective of providing descriptive and predictive analytics to the stakeholders at Dr.NTRVST. The proposed Analytical system should help users move from the existing operational reports available in the Dr.NTRVST Transactional system that are static in nature and create a Self-Service Analytical Environment where users can slice and dice the Dr.NTRVST Data and gain insights into the data by applying various Statistical and Data Mining techniques. The Analytical system should seek to automate various activities that are currently done manually while trying to perform analysis on the Dr.NTRVST data and also bring-in the best practices to the Analytical System. The end-result of identifying exceptions and hidden trends in the Dr.NTRVST data should be achieved with minimal manual interventions and the overall decision making and planning process needs to be made more efficient.
Products
Estimated Time of Arrival of Public Transport Vehicles to Stops
An application, sponsored by the World Bank Group, was developed to track all public transport vehicles in the city of Kolkata and disseminate their locations to citizens. As part of the implementation, a model was developed to accurately estimate the time of arrival of vehicles to stops, providing citizens to use this information about their choice of travel mode. The model used existing information collected from the buses during their travels and incorporated additional information related to the day of the week, time of day, weather conditions as well as special occasions. The network of routes was divided into route segments and duration was estimated for each segment. The base model was subsequently enhanced by incorporating the time of the most recent vehicles to traverse the segment weighted by recency. The model was incorporated into the application and citizens have enjoyed the benefits of the estimates since 2017.
Letter of Protection Management System
We created a web-based medical practice management system for linking patients to doctors and attorneys, scheduling medical procedures, and tracking the resulting claims. The Application is optimized for personal injury business processes. It provides a robust system for tracking claims throughout their lifetime which includes receiving new orders, requesting/receiving documents between attorneys and physicians, scheduling patients for their procedures, and generating reports and invoices. The application is designed in a multi-tenant architecture so that it can onboard different companies onto it’s system and process their requests concurrently. The system’s Document system is also designed to be HIPAA compliant for better security. The backend of the application is deployed in Google Cloud Platform using cloud Datastore and cloud storage as its main Database,while it is powered by a Flask server deployed in Google Compute Engine. The frontend of the Application is designed in Vuetify which is hosted in google firebase hosting.
Radiaide: A Platform for Radiological Image Analysis and Screening
Radiaide is a cloud-based platform for fast and reliable medical image analysis. It supports multiple disease models and imaging modalities and can be used to instantly provide artificial intelligence based analysis of those images along. It is intended to be used in cases where imaging can be performed in remote regions with instant screening and subsequent validation by remote radiologists. The platform supports state-of-the-art security and privacy features along with an efficient picture archiving and communication system as well as annotative viewers for different images. A series of single-purpose Neural Network models are available to be trained and used. Radiologists and other stakeholders are presented with the model results which can be corrected by authorized personnel. Currently, the platform supports Chest X-Ray images for Tuberculosis screening.
Consulting
Freight Assessment for Regional Waterway Connectivity
The technical, socio-economic, and logistical aspects of constructing a new canal to establish a direct inland connection between the Hooghly/Ganga River in India and the Padma River in Bangladesh, led to modeling the impact of the proposed canal on the pattern of transportation. The canal would not only be effective to divert a significant amount of traffic from the current land routes used for India-Bangladesh trade but could potentially divert trade from the North-East region to the rest of India. Data was collected from various government sources and trade-route partitioning was modeled based on the origin and destination of goods and the border crossing chosen for each goods category. The result was then mapped to a new potential waterway channel and the potential transition was estimated. This result was then forecast for the next thirty years.
Optimizing Electric Buses Routes by Monitoring Local Air Quality
The introduction of electric buses in Kolkata required planning the routes of greatest impact as well as the convenience of being within reasonable proximity to charging stations. The environmental impact required a study of hyperlocal fluctuations in air quality, especially in particulate matter across the city. For this purpose, custom low-cost air quality monitors were designed and manufactured, and calibrated by co-locating with reference grade sensors maintained by the Pollution Control Board. These sensors were placed at select locations across the city and their data was continuously captured in the cloud for over one year. Along with the information obtained from the network of reference-grade sensors, we developed a spatio- temporal dispersion model to interpolate and map the pollution levels across the city. Fluctuations and hotspots identified from this result were overlayed with the previously modeled demand to select the first two high-impact electric bus routes in the city.