Building Machine Learning Solutions for Meta Business Suite with the Business Intelligence Recommendations team.
Working with ASML as a part of my MCDS Capstone Project to provide Machine Learning and Deep learning solutions to automate tasks in their workflow.
Worked under the Kindle Publisher Experience Division to develop foundational solutions for technology partners involved in the Kindle eBook ecosystem. Operated in a customer-centric agile environment and implemented all parts of
the software developmental life-cycle.
One of 326 students offered the IASc-INSA-NASI Summer Research Fellowship nationally to work with Prof. Debdoot Sheet. Built a system to triage COVID-19 patients using a lobe-wise infection quantification on CT scans. Achieved
a 95.5% accuracy in quantifying infection in individual lung lobes.
Built a Rule Action Framework for with the Royalty Costing Team. The Java application was deployed for internal usage. Used AWS tools like Redshift, DynamoDB, S3, SNS, SQS. Performed unit testing using JUnit
This Master's program with Human-Centered Data Science Concentration equips me with the skills and expertise required to develop the layers of technology involved in the next generation of massive data system deployments and interpret
the data those systems generate.
Relevant Coursework: Computer Systems, Design Principles, Analytics & Data Science.
Ranked First among the 180 students in the Computer Science and Engineering Department. Awarded the Merit Scholarship that provided Financial Assistance to the top student in the department for 3 years.
Relevant Coursework: Programming
and Data Structures, Operating Systems, Computer Architecture, Design and Analysis of Algorithms, Software Engineering, Computer Graphics, Artificial Intelligence, Machine Learning, Data Analysis, Digital Signal Processing
Visvanathan, M., Balasubramanian, V., Sathish, R., Balasubramaniam, S., & Sheet, D. (2020, October). Assessing Lobe-wise Burden of COVID-19 Infection in Computed Tomography of Lungs using Knowledge Fusion from Multiple Datasets,
doi: https://dx.doi.org/10.21227/3qe9-e178.
SIH is a nationwide Hackathon to solve some of the pressing problems that people face in their daily life in India. Nominated as a National finalist for Smart India Hackathon (2020) under RK59 by the Bureau of Police Research & Development
Our Offiline Digital Payemt System was awarded first place by PayPal in Smart Finance Hackathon - Daksh, a 30-hour Hackathon Conducted by SASTRA University .
Ranked First among the 180 students in the Computer Science and Engineering Department. Awarded the Merit Scholarship that provided Financial Assistance to the top student in the department for 3 years.
I was assigned to combat a lack of technical diversity within my college by communicating with recruiters for their requirements, curating a syllabus, and running weekly classes for students from all departments in the college.
I had the overall responsibility for developing chapter programs, for ensuring that plans and assignments are carried out, and for seeing that the chapter fulfills its obligations to the Association for Computing Machinery (ACM). Lead
a team of 35 to conduct events with 100+ participants each. In-charge of marketing, logistics and industry relations.
