I'm building scalable reporting solutions at Citi Bank, where I use SQL, Python, Snowflake, AWS Redshift, Power BI, and Tableau to make financial data more accessible and actionable.
I've reduced query runtime by 35%, cut manual reporting time by 40%, and improved operational reporting accuracy by 25% through Python-based root cause analysis. I also maintain more than 12 Power BI dashboards with dynamic KPIs and trend analysis, and automated reporting delivery to reduce turnaround time by 50%.
Previously at Beansh Business Services, I automated weekly reporting with Python and Pandas, created KPI dashboards, and standardized ETL transformations with dbt. My work reduced reporting errors by 25%, dataset preparation time by 40%, and improved operational efficiency by 20%.
I'm completing a Master of Science in Business Analytics and enjoy turning validated, well-modeled data into clear insights for cross-functional stakeholders.
