Data Analyst

Created more than 30 reports per week tracking 10–15 KPIs to support performance monitoring and data-driven decisions for over 15 stakeholders. Built 10 Power BI dashboards and automated five recurring reports, reducing manual reporting effort by 20%.

Reduced average report preparation time from 30 minutes to 10 minutes, improving reporting speed by approximately 67%. Analyzed and validated more than 1,000 data rows daily, contributing to a reported 50% improvement in data accuracy using Google Sheets, Excel, Power BI, MySQL, and Python.

Monitored 10–15 operational KPIs across two teams and processes to identify performance gaps and support management decisions. Prepared more than 30 recurring performance reports each week, providing timely operational insights to stakeholders.

Performed data cleaning, validation, and quality assurance on more than 1,000 records daily to improve reporting reliability. Created and optimized performance reports and dashboards using Power BI and Power Query to support data-driven process improvements.

Currently pursuing a Master's degree in Computer Science with a specialization in Data Science.

Completed a Bachelor of Commerce degree with a focus on Business.