Prudhvi Raj Kancharla
Data Analyst @Edward Jones
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WORK HISTORY
Data Analyst @Edward Jones
MO, US
Built and deployed machine learning models using Scikit-learn and TensorFlow to assess credit risk and detect fraud, reducing loan defaults by 15% through early identification of high-risk accounts.• Designed and delivered enterprise-grade Power BI dashboards for loan performance, fraud patterns, AML alerts, and regulatory KPIs, enabling leadership to track real-time risk exposure and compliance status, improving executive decision-making speed by 25% through clear, actionable visual insights.• Developed complex DAX calculations including YTD/MTD metrics, rolling averages, risk-weighted exposure measures, dynamic segmentation, and trend-based KPIs, allowing stakeholders to perform drill-down analysis and real-time financial and compliance reporting within Power BI.• Automated end-to-end ETL pipelines using Apache NiFi, Python ETL scripts, and Azure Synapse Analytics, streamlining data ingestion, transformation, and validation processes, reducing manual reporting effort by 30% while significantly improving data refresh frequency and reliability.• Implemented robust data governance and security controls by configuring row-level security (RLS), role-based access, and data quality validation frameworks, achieving 98% AML data accuracy and minimizing compliance-related reporting errors in alignment with FinCEN regulatory standards.
EDUCATION
Bapatla Engineering College
Bachelor of Technology - BTech, Mechanical Engineering
Saint Louis University
Masters, Computer and Information Sciences
ABOUT PRUDHVI RAJ KANCHARLA
Data Analyst with 6+ years of experience transforming complex datasets into actionable business insights across financial services, healthcare, and retail industries. I specialize in SQL, Python, Power BI, and Tableau, with expertise in data modeling, ETL automation, predictive analytics, and executive dashboard development. Currently working at Edward Jones, where I build machine learning models for credit risk and fraud detection, develop enterprise Power BI dashboards, and automate ETL pipelines to improve data reliability and reporting efficiency. My work has helped reduce loan defaults by 15% and enabled leadership to monitor risk, compliance, and performance metrics in real time. Previously, I delivered healthcare analytics solutions at HCL and retail analytics at Deloitte, optimizing large-scale datasets, improving reporting performance, and generating insights that support strategic decision-making. I’m passionate about turning data into meaningful insights, solving complex business problems, and building scalable analytics solutions. Currently open to Data Analyst / Business Intelligence roles where I can leverage data to drive business impact.
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