Samanta Dey

In Data Science Tower with experience in artificial intelligence and healthcare technology

PROJECT 1: Patient Claims Data Analysis

• Developed Python code to introduce new rules and modify existing rules based on business requirements
• Utilized Python, MongoDB, SQL, and Postman for efficient analysis and processing of patient claims data

PROJECT 2: Mainframe Rules Code Generation

• Created a template for Solution Architects (SAs) to capture existing mainframe rule
• Implemented the template to automatically generate code for the conversion process

PROJECT 3: Database Migration to Cloud Environment

• Contributed to a migration project for upgrading the CheckWrite for a specific domain involving AWS and PostGreSQL
• Worked with cross-functional teams to migrate database tables from on- premises to a cloud environment using latest tech stacks

Research, Global Mentorship Program (GRM) - Remote

• Conducted in-depth research on the topic "Evaluating Commit Message Generation" by developing a deep understanding of the challenges and advancements in commit message generation and utilized strong analytical and problem-solving skills to propose novel approaches for evaluating the effectiveness of commit message generation techniques
• Published the research findings in the paper titled "Evaluating Commit Message Generation: To BLEU Or Not To BLEU?" in the New Ideas and Emerging Results (ICSE-NIER'22) conference held on May 21–29, 2022 with my co-authors Venkatesh Vinayakarao, Monika Gupta and Sampath Dechu (https://arxiv.org/abs/2204.09533)