Priya Mallula
Pearland,TX
Summary
Results-driven Revenue Management and Data Analytics professional with 14+ years of experience providing Tier III support for AI/ML-based Airline Revenue Management and Dynamic Pricing systems. Skilled in troubleshooting complex pricing logic, optimizing demand forecasts, and leveraging Generative AI and Microsoft Copilot to drive actionable insights. Proficient in Azure Synapse Analytics, Data Factory, and Power BI for large-scale data processing, pipeline orchestration, and executive-level reporting. Proficient at connecting complex operational systems and ensuring data reliability to implement scalable solutions that boost revenue performance and forecast.
Overview
16
16
years of professional experience
Work History
Technical Customer Support Engineer
Pros Inc.
Houston, TX
04.2017 - 07.2025
- Provide advanced Tier III support for AI/ML-based Airline Revenue Management and Dynamic Pricing systems in production environments.
- Troubleshoot pricing optimization, O&D (Origin & Destination) control logic, fare class availability, bid price calculations, demand forecasts, and revenue forecasting models.
- Analyze Artificial Intelligence (AI) –driven pricing recommendations, forecast variances, and optimization outputs to ensure alignment with airline revenue strategies.
- Leverage Microsoft Copilot to streamline data analysis, automate documentation, and assist in generating insights for revenue management reporting and anomaly detection.
- Explore Generative AI (Gen AI) to simulate pricing scenarios, forecast demand variations, and generate predictive analytics models for revenue optimization.
- Utilize Azure Synapse Analytics to query large-scale airline booking, inventory, and revenue datasets; optimize dedicated SQL pools for performance and cost efficiency.
- Design, monitor, and troubleshoot data pipelines using Azure Data Factory and Synapse Pipelines to orchestrate ETL/ELT workflows for demand forecasting and pricing optimization models.
- Implement data validation, transformation logic, and incremental load strategies to ensure high data integrity across RM forecasting environments.
- Develop interactive dashboards and executive-level reporting using Microsoft Power BI to visualize forecast accuracy, revenue performance, load factors, bid price trends, and pricing elasticity metrics.
- Build automated data quality and anomaly detection reports in Power BI to proactively identify revenue leakage, demand forecast deviations, and inventory inconsistencies.
- Perform deep-dive SQL and data analysis to identify discrepancies in demand forecasts, fare class mapping, inventory controls, and revenue reporting pipelines.
- Analyze model performance metrics such as forecast accuracy, model drift, elasticity curves, and optimization convergence stability.
- Investigate and remediate data pipeline failures impacting PSS, GDS, reservation systems, and ATPCO fare ingestion processes.
- Validate booking curves, historical demand datasets, schedule changes, and inventory snapshots used in forecasting models.
- Support API, SFTP, and batch integrations between RM systems and airline operational platforms.
- Conduct regression testing and validation of model updates in collaboration with Data Science and Engineering teams.
- Document system behaviors, configuration dependencies, and edge-case scenarios to improve platform observability and incident response.
- Integrate Synapse and Power BI with airline operational data sources (PSS, GDS, ATPCO, inventory systems) to enable near real-time revenue performance monitoring.
- Support CI/CD deployment of data pipelines and reporting artifacts across development, staging, and production environments.
SQL BI Developer / Analytics Consultant
Anthem Health Services
Norfolk, VA
11.2013 - 09.2016
- Design and develop complex SQL queries, stored procedures, and views to support clinical, financial, and operational reporting.
- Build and maintain ETL processes to integrate data from EHR/EMR systems, claims platforms, revenue cycle systems, and third-party healthcare vendors.
- Develop and optimize healthcare data warehouse models (fact/dimension tables) supporting patient outcomes, quality metrics, utilization, and reimbursement analysis.
- Create interactive dashboards and reports (Power BI, SSRS) for clinical leadership, revenue cycle management, and executive teams.
- Analyze healthcare KPIs including LOS (Length of Stay), readmission rates, case mix index (CMI), denial rates, payer mix, and reimbursement trends.
- Perform data validation and reconciliation between source systems (EHR, billing, lab, pharmacy) to ensure data integrity and regulatory compliance.
- Optimize SQL queries and indexing strategies to improve performance of large-scale healthcare datasets.
- Support value-based care reporting, HEDIS measures, CMS quality metrics, and population health initiatives.
- Ensure HIPAA compliance and implement role-based security controls for PHI-protected datasets.
- Collaborate with clinical, finance, compliance, and IT teams to translate regulatory and operational requirements into reporting solutions.
- Automate recurring regulatory and operational reports, improving reporting efficiency and accuracy.
- Document data lineage, report logic, metric definitions, and transformation rules to support audit readiness.
Mobile Application Developer
Votary Tech
Hyderabad, India
05.2009 - 12.2012
- Built a strong technical foundation while collaborating across engineering teams to improve application quality and system reliability.
- Developed automated testing strategies that increased platform stability and reduced production risk.
- Partnered with developers and stakeholders to enhance functionality and user experience.
- Implemented backend validation processes ensuring data integrity.
- Developed and executed comprehensive test plans to ensure software quality and functionality.
- Collaborated with cross-functional teams to identify and resolve defects in applications.
Education
Bachelor of Science - Electronics & Communications Engineering
Andhra University
India04-2009
Skills
- Enterprise Architecture Alignment
- Cloud & Data Platforms: Microsoft Azure, Synapse Analytics, Azure Data Factory
- Analytics & Visualization: Power BI, SSRS, Power Query
- Data Engineering: SQL, PL/SQL, SSIS, ETL/ELT Pipelines, APIs
- Data Architecture: Dimensional Modeling, Governance, Performance Optimization
- Platforms & Delivery Tools: Jira, Git, Unix Shell Scripting
- Project management
- Team leadership & development
- Artificial Intelligence & Advanced Analytics - Co Pilot & Gen AI
Accomplishments
- Delivered enterprise analytics solutions used by executive leadership for strategic planning.
- Reduced operational inefficiencies through automation and process optimization initiatives.
- Recognized for ability to bridge business priorities with technical execution.
- Consistently trusted to lead high‑visibility customer engagements and workshops.
ADDITIONAL INFORMATION
- Authorized to work in the United States without sponsorship
PROFESSIONAL DEVELOPMENT
Continuous advancement in enterprise architecture, cloud platforms, AI capabilities, and modern data ecosystems. Committed to staying ahead of emerging technologies to better advise organizations navigating transformation.
Timeline
Technical Customer Support Engineer
Pros Inc.
04.2017 - 07.2025
SQL BI Developer / Analytics Consultant
Anthem Health Services
11.2013 - 09.2016
Mobile Application Developer
Votary Tech
05.2009 - 12.2012
Bachelor of Science - Electronics & Communications Engineering
Andhra University