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About Candidate
Detail-oriented data Analyst who loves solving real-world problems with data. Skilled in transforming messy, complex datasets into actionable insights and intuitive dashboards that drive decision-making, using tools such as Python, SQL, and Machine Learning. Proven analytical and problem-solving skills; At Cognizant, I collaborated across teams to simplify and clarify data for both technical and non-technical stakeholders, ensuring clear communication of complex findings. Known for strong communication skills, curiosity, and a team-oriented mindset, I excel at making data meaningful and accessible.
Location
Education
Work & Experience
• Monitored daily sales trends to identify best-selling items, helping adjust product placement and increase daily revenue by 15% • Compiled weekly reports on sales, customer volume, and team performance, leading to a 10% improvement in shift efficiency through data-driven adjustments • Collaborated with a team of 5 members and management to streamline workflow, reducing wait times by 30% during peak hours • Led onboarding for 3 new members, shortening training time by 40% through structured guides and hands-on coaching
• Analysed and structured 500k+ records for Levi Strauss & Co. using SQL and Excel, increasing data accuracy and reliability by 20% • Streamlined 200+ high-volume ticket workflows using Python and SQL, reduced incident resolution time by 30% • Optimised SQL queries for data extraction from large datasets, improving query run-time performance by 15% • Developed dynamic Power BI dashboards to support decision-making, driving a 15% uplift in operational efficiency • Coordinated with data engineers to streamline reporting processes, reducing turnaround time by 40%
