Projects

COVID-19 Infection dynamics and Vaccine Distribution

Deployed epidemiology ML model to forecast the Coronavirus spread in INDIA and USA with and without vaccination
Proposed a vaccine distribution algorithm to reach the safety point with fewer fatalities
Captured the time-varying nature of the virus spread by improving the Time-dependent SIR model
Added vaccination state to the SIR model to understand the urgency in the states of India
Provided a Dashboard layer to perform post facto and ex-ante analysis
Presented the research paper and published findings at ITNG 2021 conference
Presented the research paper and published findings at ITNG 2021 conference

Leveraged Ensemble and Pattern mining ML Algorithms to identify trade settlement fail root causes
Deployed clustering algorithms to sample unbiased data for the model to detect generalized patterns
Actively interacted with business heads and SMEs to eliminate noise in the predictions by knowing more about the nature of the business
Developed visualization layer using Tableau to exhibit weekly data patterns to stakeholders to facilitate their operations
Integrated GitLab to track the status of settlement fail resolution process that helped in resource management

Developed a system for monitoring groundwater availability, usage, and forecast in the city of Vellore, INDIA
An automated system was created to measure the amount of water used and transmit that data to the data center
Used ML models to forecast the water availability and visualized it using tableau
Designed a website for user details and login for water bill payments

Developed a face recognition system for automatic student classroom attendance
Launched an Android application for teachers to monitor the status of students in class
Leveraged BIG DATA applications for data pipelining and processing