Analytic & AI (Internship Programme)

About the Job :

As anAI & Analytics Intern, you will support the the analytics team in developing data-driven solutions, assisting with model prototyping, data pipelining, and the creation of actionable business insights. This internship is designed to providereal-world industry exposure , predictive modeling and making it ideal for students eager to transform raw data into intelligent outcome

Key Accountabilities :

1. Dashboard Development:

• Assist in the design, development, and deployment of interactive data dashboards using Google visualization tools (e.g., BigQuery, Looker Studio) to present key business insights.
• Collaborate with team members to understand data requirements and translate them into effective visual representations.
• Perform data extraction, transformation, and loading (ETL) processes to prepare data for dashboard integration.

2. AI Chatbot Development:

• Assist in the development and enhancement of AI-powered chatbots using GCP services such as Dialogflow, Vertex AI, Firestore or other relevant platforms.
• Involve in Retrieval-Augmented Generation (RAG) techniques to improve chatbot relevance using enterprise documents. •Participate in testing and refining chatbot performance to ensure accuracy and user satisfaction.

3. Agentic AI Exploration:

• Research and explore the concepts and applications of Agentic AI, focusing on how it can be implemented using GCP tools and services (e.g., Vertex AI Agents, custom models).
• Assist in prototyping and experimenting with Agentic AI solutions for specific use cases, such as automated decision-making or complex task execution using Agentspace.
• Document findings, methodologies, and potential applications of Agentic AI within the team.

4. Cloud Technologies Exposure:

• Learn and apply GCP services such as Cloud Functions, Cloud Storage, Pub/Sub, and Dataflow for AI and analytics pipelines.
• Monitor resource usage and collaborate with the team to optimize costs and performance. 5. Documentation & Reporting:
• Maintain clear and concise documentation of code, processes, and project progress. •Prepare reports and presentations on project outcomes and findings