About Me

Data scientist with 3+ years of work experience and a proven track record of success in developing innovative solutions for complex problems in the healthcare industry. As a part of the Data Analytics team at Siemens Healthineers, made significant contributions to the field of Molecular Imaging, not only in image processing but also in natural language understanding in service analytics. Interned at multiple research universities and labs on topics including robotics, hyperspectral imaging, and federated learning, published papers in reputed conferences and journals, and successfully filed a patent for automated grading of SPECT Gamma Camera QC images.

News

2024

• AI for Precision Medicine (Jan 2024) | In collaboration with Siemens Healthineers
  As a part of CSR project, in collaboration with folks from different modalities at Siemens Healthineers, conducted hands-on session on Image Segmentation at AI for Precision Medicine workshop at the Department of Computational and Data Sciences (CDS), IISc, Bangalore. [LinkedIn] [Img] [Cert]

2023

• Invited talk on “Introduction to AI and Data Science: Navigating the vector space” (May 2023) for first and second-year undergraduates, organized by the AI & Robotics Club and IEEE Student Branch, University of Calcutta.

2022

• Mentored a team of three members on NLP topics and guided them on a project for topic modelling on software defect issues during ALP: Data Engineering Reskill Initiative (Nov 2022) at Siemens Healthineers.

Achievements

🏆 Finalist, DC Excellence Awards, Siemens Healthineers (Mar 2024)
The work on “Method for artifact segmentation and uniformity assessment of Gamma Camera Flood Images” was nominated as one of the finalists for the DC Excellence Awards, 2024. [LinkedIn]

🏆 Top 5, AI Innovation Sprint, Siemens Healthineers (Feb 2024)
Our idea, “iSTAR: Intelligent Ticket Assignment and Resolution” was selected as one of the top 5 winners out of 61 submitted ideas at the AI Innovation Sprint for Predictive Maintenance and Incident Management. [LinkedIn]

🏆 Runners-up in SCM Hackathon, DX, Siemens Healthineers (Feb 2023)
Stood 2nd out of 44 participating teams from two countries (India and Slovakia) in the 24-hour Supply Chain Management Data Science Hackathon organized by Diagnostics department within Siemens Healthineers.

🎓 JBNSTS Senior Scholar (Dec 2016)
Qualified in the Jagadis Bose National Science Talent Search (JBNSTS) Examination.
Received a monthly scholarship and annual book grant throughout undergraduate studies.