Rishi Pandey

Data Analytics & Agentic AI

• Accelerated data migration, driving a 52% faster Speed To Market for live reporting
• Led on-premise cloud migration for Global Merchant Network Services, reducing costs by 43%
• Built automated reporting pipelines using GCP, Cornerstone & PowerBI for B2B and Fraud Analytics
• Created AI Driven agents, cutting manual effort in reporting quality through workflows by 35%

Data Science & Machine Learning

• Partnered with cross-functional teams to create attrition predictors & early warning models
• Optimized ML models (XGBoost, CatBoost) through 300+ iterations, boosting precision from 35% to 99%
• Built forecasting models with 94% accuracy to flag at-risk merchants and drive proactive interventions.

• Boosted SKU efficiency by 60% and product performance by 40% by driving Unilever UK’s data analytics & Azure initiatives.
• Engineered data-driven solutions using Azure services employing 120+ KPIs increasing decision accuracy by 25%, enhancing SKU.
• Optimized advanced data reporting dashboards using Power BI and Azure Services, achieving 80% production accuracy.
• Led team of 4 Analysts, improving operational efficiency of cloud engineering by 35% & reducing Functional costs by 42%.
• Achieved model accuracy of up to 85% by engineering innovative solutions with Python, Databricks, JIRA, and the Azure tech stack
• Streamlined ETL workflows using Azure Data factory and PySpark, achieving 35% decline in process time.
• Supported 6 multilingual clients with Azure services through project enhancement, achieving 56% increase in client satisfaction.
• Leveraged focus groups with %6 business leaders to align project goals with firm values, boosting retail strategy efficiency 40%
• Awarded Fast Track Promotion to Consultant (Assistant Manager) for directly contributing to success of 7 major project milestones

• As a campus hire; boosted client satisfaction 90% by driving operational efficiency with Python-powered .NET Core solutions
• Contributed to in-house automation projects for Insurance clientele, generating additional revenue by 5%
• Developed scalable software solutions using Python to enhance system performance.
• Collaborated with cross-functional teams to identify and resolve technical challenges, ensuring project alignment.
• Optimized existing applications by refactoring code, resulting in improved application efficiency and maintainability.
• Implemented automated build and deployment processes to streamline release management procedures.
• Refactored legacy codebases for improved maintainability, paving the way for easier future updates.
• Developed reusable components that significantly reduced development effort on multiple projects.
• Collaborated with cross-functional teams to ensure seamless integration of software components.