Adithya Ravi

Optimized SAP SD Order-to-Cash processes and enhanced custom reports, improving reliability by 25% and accuracy by 30%. Boosted testing efficiency by 25% through methodical test case analysis and cross-functional collaboration, increasing project transparency by 15%. Performed pricing error trend analysis to align SAP CPQ pricing rules with SD processes, optimizing system configurations for improved business outcomes.

Developed GPT automation system via Google AppsScript, cutting task time 30% through automated emails and data processing. Improved data efficiency 40% with structured storage for AI prompts/responses and automated logging. Mentored junior researcher, boosting model efficiency 15% through API optimization guidance. Partnered with cloud engineer to deploy system with remote access, API endpoints, and load balancing for scalable high-demand workflows.

Streamlined rental operations through custom interactive dashboards and Excel database design. Automated tracking with Python scripts (Pandas, OpenPyXL) for real-time reporting and scheduling optimization, cutting turnaround time and boosting student satisfaction 15%. Built SQLite database analyzing 500+ autism therapy sessions and implemented KNN clustering model to personalize experiences with dynamic difficulty adjustments, significantly improving engagement outcomes.

Analyzed customer data with Python/SQL, created Power BI dashboards tracking retention, engagement, and churn. Improved data quality through Z-score/IQR outlier removal (30% error reduction) and scaling techniques (40% model usability improvement). Implemented regression models that enhanced decision accuracy by 15% and added 198 new engaged customers.