Sravya Vemunuri
Professional Summary
Data Analyst with 6+ years of experience transforming large-scale healthcare, education, and financial datasets into actionable insights through Power BI, Tableau, SQL, Python, and Azure. Proven record of raising reporting accuracy by 40%, accelerating ETL refresh cycles, and enabling strategic decisions for executive stakeholders.
Technical Skills
Work Experience
- Developed interactive Power BI and Tableau dashboards integrating Medicaid, Medicare Advantage, membership, claims, and quality datasets with SQL, Python, IBM Db2, Snowflake, and Databricks, boosting executive reporting accuracy by 40%.
- Built automated ETL pipelines in Databricks that cut data refresh time from 24 h to 2 h and enforced governance on 200 M+ records across operational domains.
- Performed utilization and risk analytics that surfaced 15% potential cost savings and highlighted high-risk member cohorts, influencing care-management policies.
- Designed predictive FWA models in Scikit-Learn achieving 92% precision, enabling early fraud detection and supporting regulatory compliance initiatives.
- Translated 30+ business questions into KPI frameworks and self-service dashboards, reducing decision-making cycles by 35% for Operations and Finance leaders.
- Mentored 4 junior analysts in SQL optimization and visualization best practices, elevating team productivity by 20% within two quarters.
- Engineered enterprise Power BI dashboards fed by SSIS, Databricks, Azure SQL Database, and Snowflake that improved executive insight accuracy by 40% and served 800+ users.
- Authored 10+ complex DAX measures, calculated columns, and Power Query transformations standardizing clinical and financial KPIs across seven product lines.
- Automated fragmented ETL flows with SQL, T-SQL, and Databricks, cutting data latency from 18 h to 3 h and reducing manual reconciliation by 70%.
- Implemented dimensional models and semantic layers in Azure Synapse Analytics, accelerating ad-hoc query performance by 25% across reporting teams.
- Collaborated with Product, Finance, and Operations stakeholders to define data contracts and governance rules, increasing report adoption by 30%.
- Leveraged Git for version control and CI/CD of Power BI artifacts, reducing deployment defects by 15% across dev, test, and prod environments.
- Consolidated academic, financial, and advising data into a central warehouse using Python and SQL, enabling cross-functional analysis for 6,000+ students.
- Built Tableau dashboards visualizing retention metrics, GPA trends, and at-risk segments, enhancing intervention accuracy by 25%.
- Developed logistic regression and random-forest models in Scikit-Learn achieving 0.88 ROC-AUC and boosting early outreach success by 20%.
- Reduced manual analysis time by 35% through reusable preprocessing pipelines and parameterized visualization templates.
- Co-authored peer-reviewed paper detailing platform architecture and results; presented findings to the institutional research board.
- Coordinated with 5 faculty members and data engineers to integrate insights into strategic planning, influencing allocation of $1.2 M in retention funding.
- Designed and deployed 15+ SSIS and PL/SQL ETL pipelines consolidating multi-system financial and customer data, reducing latency by 60%.
- Created 12 Power BI dashboards for loan origination, repayment, and delinquency KPIs, increasing stakeholder reporting efficiency by 40%.
- Refactored 50+ complex SQL queries and stored procedures, cutting batch report runtime from 4 h to 45 min and saving 20 compute hours weekly.
- Automated recurring financial reporting workflows with Python and Excel macros, eliminating 500 manual hours annually.
- Implemented a data-validation framework with SSRS and SQL that reduced reconciliation errors by 30% and strengthened audit readiness.
- Facilitated Agile ceremonies for an 8-member analytics squad and tracked progress in Jira, achieving 95% on-time delivery across two release cycles.
Education
Certifications
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