• Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Technology
  • Keywords: API, Automation, AWS Cloud Services, Azure, Cloud, Data Scraping, Documentation, infrastructure, Integration
  • Tools: Asana, AWS, Azure, Beautiful Soup, Docker, Git, JIRA, NLTK, PostgreSQL, Python, python-docx, ReportLab, Scrapy, SendGrid, SpaCy
  • Citizenship: Open to all students
Summary

Current release management process is done manually and resource-intensive. Celito's many Life Sciences customers require GxP impact assessments. The manual tracking and copy-paste efforts lead to inefficiencies and growing customer base creates scalability challenges.

Description

PROJECT RECOMMENDED for Computer Science / Data Science majors with coding experience. PROJECT DESCRIPTION -- A flexible, enterprise-grade automation system for managing software solution releases: • Platform-agnostic framework adaptable to various software solutions • Automated release notes retrieval and impact analysis • Standardized assessment generation and workflow management • DocuSign Part 11 serving as the first reference implementation • Extensible architecture to support additional solution integrations PROJECT GOAL -- Transform the manual release management process into an automated, scalable system that: • Reduces manual effort and human error • Standardizes impact assessment documentation • Supports multiple customers efficiently • Maintains compliance requirements