Vamshi
Krishna
Korutla

Interactive lending dashboard tracking an $842M portfolio with live KPI cards, period filters, originations vs. deposit line chart, donut portfolio breakdown, and a 6-branch leaderboard with inline progress bars. Built to show exactly the interactivity financial services recruiters expect from a BI hire.

Bloomberg-style executive platform with a live 13-metric scrolling ticker, animated KPI counters ($274M ARR, 2.4B rows), dual ETL pipeline flows (Salesforce→Snowflake and SAP→Redshift via dbt), AI forecast with confidence bands, and DAMA/DMBOK data quality scoring across five dimensions. Reduces manual analysis by 80%+ across Finance, Sales, Ops, and Product.

Enterprise medallion architecture (Bronze→Silver→Gold) on Databricks with Apache Spark, Delta Lake, and incremental processing for high-volume data transformation at scale. Implements schema evolution, Z-ordering, and automated data quality checks at every layer to ensure downstream reporting reliability.

Production-ready Retrieval-Augmented Generation agent built at a Google Cloud AI event, enabling intelligent Q&A over enterprise document corpora using vector embeddings, FAISS, and semantic search grounding. Demonstrates LangChain orchestration, Gemini integration, and advanced chunking strategies for accurate, hallucination-resistant responses.

End-to-end ensemble ML pipeline achieving 94% accuracy on clinical risk prediction with SHAP-based feature importance for interpretable, audit-ready healthcare decisions. Covers full lifecycle — EDA, feature engineering, cross-validation, model selection, and reproducible reporting aligned with clinical review standards.

Predictive modeling system combining behavioral, attendance, and academic data to identify at-risk students and surface targeted intervention recommendations via automated Power BI dashboards. Enables educators to act earlier and more precisely, translating raw institutional data into actionable student support decisions.