Power BI Data Analyst with hands-on experience delivering executive dashboards, KPI reporting, and automated ETL pipelines. Strong expertise in Power BI, SQL, DAX, and Python, with a proven ability to transform multi-source data into business-ready insights.
Microsoft PL-300 and AWS Certified Cloud Practitioner, with experience working across cloud-based analytics solutions using AWS services such as S3, Glue, and Athena. Skilled in designing interactive dashboards and analytics solutions that support data-driven decision-making.
Experienced in analysing trends, evaluating performance, and building reporting solutions that translate complex data into clear, actionable insights for business stakeholders.
0 + Projects completed
Below are the projects on SQL, Python & Power BI.
• Analysed multi-year retail sales and built KPI dashboards for actionable insights.
• Created serverless ETL using S3, AWS Glue, Athena, and Power BI, achieving 95–98% data accuracy.
• Improved ETL efficiency and processing speed through schema automation and Python preprocessing.
Tech: S3, Glue, Athena, Python, Power BI
• Built a fully automated payments ETL pipeline simulating real banking and fintech transactions.
• Incremental Python ETL continuously adds new payment records without duplicates.
• Scalable MySQL schema for customers, accounts, payments, and transactions.
• Fully automated pipeline with Task Scheduler; analytics-ready SQL views refresh automatically.
Analyzed Pizza store data using advanced SQL queries to identify gaps and increase business growth.
Designed a Power BI dashboard for a store to track and analyze online sales data.
This dashboard provides insights regarding company attrition rate.
Analyzed a Teddy eCommerce website using SQL queries to evaluate traffic sources, device usage, sales per advertisement, and more.
Performed exploratory data training using Python to improve mask detection accuracy.