Rahul's CV
Profile summary
Consultant with 11 years of experience in data analytics and cloud engineering. Proven record of optimizing direct mail campaigns, leading shopper research, and building cloud data solutions with Azure and Snowflake. Combines statistical modeling and cross-functional execution to deliver actionable business intelligence.
Career highlights
Marketing Analytics and Campaign Management: Manages direct mail marketing analytics and campaign execution for an auto insurance client, directing audience segmentation and performance tracking operations.
Cloud Data Engineering: Directs cloud data engineering initiatives using Azure services and Snowflake to process media and marketing data while troubleshooting pipeline failures.
Shopper Research and Statistical Modeling: Directs shopper research initiatives across global markets and builds statistical models including linear regression, correspondence maps, and decision trees.
Cloud and Database Certifications: Holds foundational credentials including Microsoft Azure Fundamental AZ-900 alongside Academy Accreditation for Databricks Fundamentals.
Key skills
Professional experience
Directs direct mail marketing analytics and campaign execution for an auto insurance client, overseeing audience segmentation, performance tracking operations, and data handling across on-premises and cloud databases.
- Processes campaign data using Oracle SQL and SAS for data management.
- Integrates data systems through collaboration with cross-functional teams.
- Refines data workflows and sets up secure file transfers with Snowflake and AWS S3.
- Creates campaign performance reports and documents workflows for internal processes.
Directed global shopper research initiatives, managing analytical processes and retailer-specific insights while coordinating cross-functional workflows to define data requirements and deliver business intelligence reports.
- Analyzed Nielsen household panel, retail panel, and survey data to generate market trend and competitor insights.
- Built statistical models including linear regression, correspondence maps, and decision trees to solve client business issues.
- Delivered training on shopper data platforms to ensure understanding of underlying Nielsen methodologies.
Directed cloud data engineering initiatives using Azure services and Snowflake to process media and marketing data, establishing data transformation workflows that supported business intelligence reporting and machine learning models.
- Developed SQL queries, stored procedures, and tasks in Snowflake to optimize data processing and transformation.
- Built scalable data solutions using Azure Data Lake Storage, Azure SQL, Azure Databricks, and Snowflake.
- Troubleshot data pipeline failures, connectivity issues, and transformation errors to maintain operational stability.
Education
Financial Mathematics
Certifications
Languages
English · Fluent
Hindi · Native