● Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
● Strong experience in data analytics and data engineering, including building data pipelines, statistical analysis, and data visualization.
● Proficiency in SQL and Python, with experience working with large-scale data platforms (e.g., Hive, Spark, or similar big data environments).
● Experience building data dashboards and reporting tools (e.g., Tableau, Power BI, Superset, or similar platforms).
● Familiarity with AI-assisted data analysis tools, including prompt engineering, context engineering, and AI workflow integration.
● Experience with RAG (Retrieval-Augmented Generation), AI agents, MCP frameworks, or similar AI infrastructure is a strong plus.
● Strong problem-solving skills with the ability to break down complex problems into structured analytical approaches.
● Excellent learning ability, curiosity for new technologies, and a strong sense of ownership and self-driven execution.