Data Analyst
Current• 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐝 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: Enhanced data pipeline efficiency by 93%, significantly reducing labour costs and decreasing the time for data availability from 1.5 months to just 3 days, thus accelerating strategic decision-making.• 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥: Developed a forecasting model that improved revenue prediction accuracy and enabled strategic planning, directly contributing to a 12% increase in revenue projections.• 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: Implemented K-means clustering for customer segmentation, resulting in a 10% increase in annual revenue through more targeted marketing.• 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬: Automated BI dashboards, saving 260 man-hours annually, improving real-time insights for strategic decision-making.• 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐌𝐚𝐤𝐢𝐧𝐠: Influenced strategic decisions with data-driven insights, contributing to a 15% reduction in operational expenses.