Sai Lakshmi Madala

Data Analyst with 3+ years of experience specializing in financial data modeling and automated reporting systems. Proficient in architecting complex SQL queries and Python scripts to extract actionable insights from Snowflake and AWS Redshift environments. Expert at developing interactive dashboards using Sigma, Power BI, and Tableau to monitor credit performance metrics and operational risks.

Skilled in building scalable ETL pipelines with dbt and Airflow to ensure data integrity for executive decision-making. Contributes to organizational efficiency by integrating AI-enabled automation and statistical modeling to optimize business performance and financial reporting accuracy.

Data Analyst - Abridge

(2024-06)

• Developed SQL queries and Python scripts to analyze operational trends within clinical conversation data, helping the team identify patterns that improved the accuracy of automated medical documentation.
• Built automated dashboards in Power BI to monitor data quality across various EHR integrations, providing the executive team with clear visibility into system reliability and performance.
• Created statistical models to evaluate the accuracy of transcript data, using these insights to suggest improvements for the underlying data capture processes and storage layers.
• Designed scalable data models to manage large sets of unstructured audio data, ensuring that the information was organized and easily accessible for downstream analytics and reporting.
• Built data validation checks within ELT pipelines to catch anomalies early, which improved the overall reliability of the datasets used for clinical decision support tools.
• Provided technical recommendations to product managers and engineers by translating complex data findings into actionable insights that helped guide the development of new platform features.
• Maintained detailed documentation for all data workflows and analytical solutions, making it easier for other team members to understand and update the existing data infrastructure.
• Improved data ingestion processes for real-time transcripts by identifying bottlenecks in the pipeline and implementing more efficient processing methods using Python.
• Worked with the compliance and legal teams to ensure all data analysis and reporting workflows followed strict healthcare privacy standards and internal data governance policies.
• Developed custom reporting solutions that tracked the adoption and performance of generative AI features, helping leadership make informed decisions about future infrastructure investments.

Data Engineer - Kikoff

(2020-03 - 2021-07)

• Designed foundational datasets in Snowflake using dbt to support credit-building product analytics, maintaining high-performance querying for millions of user behavioral records across transactional and financial tables.
• Developed automated financial reports using Python and SQL to track Profit and Loss drivers, providing the executive team with visibility into revenue trends and operational risk factors.
• Built interactive dashboards in Power BI to monitor credit score migration and user retention metrics, enabling product managers to make data-driven decisions for feature optimization and growth.
• Implemented statistical models for vintage analysis and credit risk assessment, utilizing Python to evaluate portfolio performance and support long-term capital planning and financial reporting requirements.
• Automated data quality monitoring processes using Dagster to detect schema anomalies and pipeline failures, significantly reducing time to resolution for critical financial datasets and downstream reporting tools.
• Enhanced data architecture by creating scalable dimensional models from raw transactional data, facilitating efficient self-service analytics for finance, operations, and compliance teams within the organization.
• Configured automated ETL pipelines to ingest credit bureau data into Snowflake, validating data integrity and lineage for AI-driven credit limit increase models and product experimentation workflows.
• Integrated AI-enabled automation tools to improve data preparation workflows, reducing manual effort for financial analysts while increasing the accuracy of monthly P&L and tax reporting outputs.
• Maintained comprehensive documentation for data governance and lineage, verifying that all analytical solutions complied with internal audit standards and legal requirements for consumer financial data processing.
• Created custom visualization solutions in Sigma to track A/B test results for new credit features, converting complex model outputs into actionable insights for cross-functional product and engineering stakeholders.

Master's - Computer Science - Lewis University (2023-12)