Aryan Na

Data Analyst with hands-on experience in SQL, Python, data manipulation, statistical analysis, data visualization, KPI development, and predictive analytics. Skilled in transforming raw data into reusable analytical datasets, identifying trends and risk indicators, and developing data-driven recommendations for business decision-making. Knowledge of Banking and Financial Services, lending, credit risk, eligibility, verification, fraud indicators, decline criteria, credit risk datamarts, and third-party credit data concepts.

Familiar with A/B testing, statistically valid experiments, risk strategy measurement, and stakeholder communication. Strong problem-solving and analytical skills with a focus on creating scalable and reusable analytical solutions.

Data Science Intern at InternBoot (2025-08 – 2025-09)

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• Collected, cleaned, transformed, and analyzed structured datasets using Python, Pandas, and SQL to support analytical requirements.
• Analyzed business and data-related problems to identify root causes and develop practical, data-driven solutions.
• Worked with team members to understand requirements, clarify business objectives, and translate them into analytical tasks.

B.Tech in computer science engineering – RIT Roorkee (U T U) (2022 – 2026)