Resume

Data Analyst with hands-on experience in data cleaning, data extraction, reporting automation, and interactive dashboard development using Excel, Power BI, and SQL. Skilled in data analysis, performance tracking, trend identification, and data visualization to support data-driven decision-making. Experienced in creating automated reports and providing actionable insights to improve operational efficiency and business outcomes.

Experience

June 2024 – Present

Data Analyst

The Viewlytics

Streamlined monthly viewership reporting processes across 10+ news channels by developing automated Power BI dashboards, reducing manual reporting time by 30% and enabling real-time data visualization for key stakeholders.
Developed and maintained interactive Power BI dashboards for Facebook, Instagram, and YouTube, tracking daily watch time, audience growth, and engagement metrics to support performance analysis and trend identification.
Optimized SQL queries to enhance database performance and improved dashboard load times by 50%, ensuring faster access to critical business insights for decision-makers.
Collaborated with cross-functional teams, including content, marketing, and data teams, to present data-driven insights and communicate actionable recommendations using clear visualizations and data storytelling techniques.

Sept 2023 – May 2024

Reporting and Analytics Engineer

Ecopack Limited – PET Bottles Manufacturing

Collected, cleaned, and organized daily machine performance data using Microsoft Excel, ensuring data accuracy, completeness, and real-time performance tracking across production lines.
Designed and implemented custom Excel templates and automated spreadsheets for performance reporting, reducing manual data entry time by 40% and improving reporting accuracy.
Developed and consolidated weekly performance summaries by merging daily shift data into comprehensive Excel reports, enhancing data visibility and enabling informed decision-making for senior management.
Conducted ad-hoc data analysis using Excel formulas, PivotTables, and charts to identify operational trends, detect recurring equipment failures, and support preventive maintenance planning through data-driven insights.