Akshaya Reddy Vootukuri

• Worked on research-driven data analysis projects using SQL and Python.
• Extracted, cleaned, and analyzed large datasets of non profits across US and Europe to generate insights.
• Developed scripts to automate repetitive tasks and generate reports for decision-making.
• Applied Python libraries for statistical analysis and visualizations to present research findings.

Scenario: Material master creation needed parallel approvals from both the Finance and Operations departments before activation.

Tasks performed:

• Designed and implemented a parallel workflow.
• Configured user tasks for Finance and Operations approvers.
• Integrated conditions to ensure workflow only triggers for specific material types.

Scenario: Business requirement to validate custom material attributes during creation.

Tasks performed:

• Implemented user exits and BAdIs to enforce validations without modifying SAP standard code.
• Used enhancement spots in standard SAP programs for upgrade-safe extensions.
• Added default values for certain fields using BAdI implementations.

• Developed ALV and classical reports for logistics and finance.
• Created interfaces to exchange data with external systems.

Requirement: The Production and Logistics team needed a Fiori report to track key defense materials by plant and material type, showing MRP status, stock, and material lifecycle for planning decisions.

Tasks Performed:

• Built CDS views on MARA with associations to MARC (plant data) and MARD (stock data)
• Applied CASE expressions to derive clear material lifecycle statuses
• Used parameters for dynamic filtering by plant and material type
• Optimized data model with reusable views and join conditions for performance

• Designed classes and interfaces for reusable business logic.
• Applied inheritance and polymorphism for scalable implementations.

• Scheduled background jobs for mass data replication and processing.
• Configured MDG workflows for article and material masters.
• Implemented validations, derivations, and approvals in MDG for consistent master data.
• Monitored jobs via SM37 and ensured successful replication across connected systems.