• Utilized K-means clustering to segment customer data based on Purchasing behavior.• Resulting in improved marketing campaigns and increase in customer retention.• Created and maintained handholding data pipeline through Azure Data factory.• Managed the Elite subscription-based program, automate reports and tracking performance, resulting16% increase in revenue and 25% increase in visits over the 6months.

• Designed and implemented a cloud-based data warehousing solution using Snowflake• Developed ETL pipelines to extract, transform, and load data from Salesforce and other systems, ensuring data quality, consistency, and efficient processing.• Created interactive dashboards and reports in Tableau, providing actionable insights and supporting data-driven decision-making for the Sales strategy team.

• Built automated dashboards in Power BI to track occupancy rates and booking trends, reducing reporting time by 30%.• Build a Power BI dashboard to track real-time metrics like sales, average order value (AOV), and cart abandonment rates.• Analyze product sales trends to identify top-performing and low-performing items.

• Analyze transaction patterns to identify anomalies and flag potentially fraudulent activities.• Support credit risk evaluation by developing metrics like credit scores and default probabilities.Impact: Reduced financial losses and improved risk mitigation strategies.