Samanta Dey

Associate Software Engineer 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 rules.

- 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.

• 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)