Sumanth Krishna Konda

Data Scientist @Wells Fargo

US

Developed and deployed scalable machine learning and AI models using Python on Azure Machine Learning, predicting customer churn and credit risk with 15% higher accuracy and improving decision making across consumer lending portfolios.• Extracted, transformed, and analyzed large-scale structured and unstructured financial data using SQL, Spark, and PySpark on Azure Databricks, enabling real-time analytics and improving operational efficiency in loan origination and fraud detection systems.• Automated end-to-end ETL and data pipelines using Azure Data Factory and PySpark, integrating data from multiple banking sources and improving data processing speed and model retraining frequency by 40%.• Developed interactive Power BI dashboards to monitor model performance, customer segmentation, and portfolio risk metrics, empowering executives with real-time decision intelligence and business insights.• Collaborated with compliance, credit risk, and data governance teams to align AI-driven solutions with regulatory frameworks and model risk management (MRM) best practices.• Implemented Large Language Models (LLMs) using Hugging Face Transformers and Azure OpenAI Service (GPT-4) to summarize financial documents, automate customer support analytics, and extract key risk factors from loan agreements.• Built Retrieval-Augmented Generation (RAG) pipelines on Azure Cognitive Search to power intelligent document retrieval and contextual recommendations, improving analyst efficiency by 20%.• Applied NLP and Generative AI techniques to analyze contact center transcripts, uncover sentiment trends, and generate actionable customer retention insights for marketing and service teams.

University of Illinois Springfield

Master's Degree, Management Information Systems, General

Sreenidhi Institute of Science and Technology

Bachelor's Degree, Electronics and Communication Engineering