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  • Data analytics
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This Year
525 Points
Total
525 Points
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AI Generative

  1. Job function (e.g., overall role, assigned tasks)
    1. As an extern in the Undergraduate Generative AI Externship, I will focus on developing technical skills in Python and Generative AI. My role includes completing self-paced virtual training sessions, applying Python for AI applications, and gaining foundational business skills. Additionally, I will have opportunities to engage with mentors and subject matter experts to enhance my understanding of AI technologies.
  2. Examples of projects (e.g., list the projects you worked on and what you accomplished)
    1. Implementing Python-based machine learning models.
    2. Exploring neural networks and their applications in Generative AI.
    3. Engaging in real-world problem-solving scenarios to enhance AI proficiency.
    4. Completing tasks related to Cognizant’s Synapse program to build industry-relevant AI skills.
      By the end of the program, I aim to earn Skills Accelerator badges in Python and Generative AI, demonstrating my competency in these areas.
  3. What you learned and how it relates to your major (e.g., describe what you learned from this experience in the context of specific courses)
    1. This externship will directly support my Management Information Systems major by enhancing my understanding of AI’s role in business intelligence, data analytics, and decision-making. The experience will reinforce concepts from my coursework, such as data analysis and visualization techniques useful in business strategy, AI-driven automation for improving business efficiency and operations, and machine learning applications in customer relationship management (CRM) and enterprise systems. Additionally, the externship will prepare me for technology-driven careers in consulting, IT management, and business analytics by expanding my knowledge of AI integration in modern enterprises.
  4. Once approved, the description is automatically displayed in a post on your e-portfolio.
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