Data Scientist

Results-driven Data Engineering student with a strong statistical foundation and hands-on experience building end-to-end ETL pipelines, blockchain-based data systems, and automated content workflows. Combines analytical rigor from a B.Sc. in Statistics with production-grade engineering skills across Python, SQL, and Web3 infrastructure. Proven self-starter who independently architects solutions—from multi-source data pipelines to on-chain academic record systems—and ships them to production. Actively seeking a Data Engineer Intern role to contribute scalable, well-tested data infrastructure.