Role Description
**Job Scope:**
1.
**Explore and familiarize with enterprise data ecosystem and digital infrastructure:**
To understand the organization’s digital landscape — data sources, cloud setup, and application systems — and identify areas where data or AI solutions can add business value.
2.
**Cloud Infrastructure and Data Pipeline Setup:**
To explore cloud architecture and Data pipeline tools (e.g., AWS, DataZone, Redshift, etc). Build foundational knowledge of data ingestion, transformation, and pipeline automation for analytics and AI projects. Key is to make data ready for usage
3.
**Data Analytics and Visualization:**
To conduct data analysis and visualize insights through BI tools (Power BI, Quicksight). Interpret insights that support business decisions and identify potential predictive use cases.
4.
**Either AI and Machine Learning Exploration (Chatbot / Predictive / Sentiment Use Cases) or Application Development, API Integration, and UX/UI Design:**
To explore AI applications such as chatbot design, customer sentiment analysis, and predictive analytics. Understand data preparation, model workflow, and evaluation techniques. or To apply good coding standards, automation scripts, and testing frameworks for QA. Validate system functionality, data accuracy, and performance using structured testing approaches.
5.
**Final Project and Presentation:**
To deliver an end-to-end digital solution combining data pipeline, analytics dashboard, AI function (e.g., chatbot), and user interface prototype. Present findings and outcomes to management.