Suganya C

• Optimized data reporting processes, reducing manual efforts by 30% through automation.
• Extracted, cleaned, and analyzed large datasets using SQL, improving operational efficiency.
• Built interactive dashboards in Tableau for leadership, enabling data-driven decision-making.
• Collaborated with cross-functional teams to develop machine learning solutions for enhanced data quality.
• Identified key business trends through data analysis, influencing strategy improvements.
• Created machine learning models to analyze customer behavior, providing actionable insights that resulted in a 12% increase in retention rates.
• Designed and implemented data pipelines for machine learning models, ensuring efficient data flow and accessibility.
• Conducted data quality assessments and audits, leading to a 20% reduction in data discrepancies and improved analysis outcomes.
• Developed and tested machine learning algorithms to enhance predictive analytics capabilities, contributing to better customer segmentation.

Projects & Impact

• Developed a Power BI dashboard to track customer orders, sales trends, and delivery performance.
• Automated SQL queries to fetch real-time order data, reducing manual reporting time by 40%.
• Provided insights that led to a 10% improvement in operational efficiency and reduced delayed orders.

2. Employee Performance Analytics – SQL & Tableau

• Extracted and analyzed employee performance data using SQL to measure efficiency and workload balance.
• Created a Tableau dashboard to track KPIs, like productivity scores and project completion rates.
• Provided insights that led to a 15% improvement in workforce efficiency by optimizing task allocation.