Vedant

Detail-oriented Data Analyst with hands-on experience in exploratory data analysis, ETL pipeline development, and business intelligence reporting. Proficient in Python (pandas, numpy), SQL, and Power BI. Demonstrated ability to translate raw datasets into actionable insights that drive operational decisions. Practical exposure to workflow automation using n8n and Docker. Currently pursuing B.Sc. Statistics (2026) with coursework in Statistical Inference, Probability Theory, and Data Mining.

Data Analyst Intern at LaserQuant (2026 – Present)

• Performed end-to-end exploratory data analysis on laser service operational data, identifying key performance patterns and anomalies.
• Designed and deployed an automated email notification system using n8n, reducing manual follow-up time and improving client communication workflows.
• Collaborated with stakeholders to translate business requirements into data-driven reports and dashboards.

B.Sc. in Statistics (Minor: Mathematics) – Institute of Science (2023 – 2026)