I am a Data Analyst with hands-on experience in business reporting, data validation, dashboard development, and exploratory data analysis. I use data to identify trends, answer business questions, and deliver actionable insights for stakeholders.
I am proficient in SQL, Python, Excel, and Power BI. My technical capabilities include data cleaning, validation, SQL querying with joins, subqueries, CTEs, and window functions, as well as building KPI-focused reports.
I have experience developing interactive Power BI and Excel dashboards that track operational and business performance. I translate requirements from cross-functional teams into practical reporting solutions and clear visualizations.
In my analyst roles, I have validated large datasets, automated repetitive cleaning processes, and implemented quality-assurance checks for missing values, duplicates, and formatting errors. My work has helped improve data accuracy and reduce turnaround time.
I have also completed analytics projects in banking, salary benchmarking, retail sales, and UPI payments. These projects involved Python, SQL, PostgreSQL, Power BI, Excel, React, and Next.js, covering data preparation, analysis, visualization, and reporting.
I am comfortable working with structured datasets, documenting data processes, collaborating in Agile environments, and communicating findings through stakeholder-ready dashboards and reports.