nagarjuna gottipati

• Developed a risk-based collection model for the German market using Azure Databricks, enhancing data-driven decision-making. • Implemented MLflow logging to ensure transparent development tracking and model performance monitoring. • Designed a dynamic Power BI dashboard for Mercedes-Benz Bank, focusing on key dealer data KPIs with an auto-refresh feature.

• Developed a robust data pipeline from weblog sources to Google Cloud, enhancing data accessibility. • Optimized data processing through advanced data engineering techniques, improving efficiency. • Created interactive dashboard reports in Google Data Studio to monitor site errors and outages, facilitating quick decision-making

• Developed and optimized machine learning models to predict student attrition, enhancing retention strategies. • Designed interactive dashboards to visualize KPIs, improving decision-making processes. • Engineered data pipelines with Apache Airflow, increasing data processing efficiency and reliability.

• Identified and resolved data issues related to domain and structural integrity, ensuring consistency across platforms. • Employed advanced data profiling techniques to assess and enhance data quality, addressing discrepancies effectively. • Contributed to the transformation of the spare part portal by breaking down its monolithic architecture into scalable micro-services.