srinikreddy1998@gmail.com

Hi, my name is

Srinivasa Kommireddy.

I turn large-scale data into decisions.

Data Analyst with 4+ years transforming healthcare and financial datasets into actionable business insight — 50M+ claims and $150M+ in spend analyzed across SQL, Python, Snowflake, Databricks, and Power BI.

View My Work

About Me

I'm a Data Analyst with 4+ years of experience transforming large-scale healthcare and financial datasets into insight that finance and operations teams can act on. Most recently at UnitedHealth Group, I analyze 50M+ claims and $150M+ in healthcare spend to improve revenue cycle performance, claims operations, and financial visibility.

Along the way I've identified $4.2M in reimbursement recovery opportunities, cut avoidable claim denials by 15%, and built governed analytics — semantic models, row-level security, automated data quality — that reduced claims triage time by 87%.

Microsoft Certified: Fabric Analytics Engineer Associate and Power BI Data Analyst Associate.

Here are a few technologies I've been working with recently:

  • Advanced SQL & Data Modeling
  • Python (Pandas, PySpark)
  • Snowflake
  • Azure Databricks
  • Power BI (DAX, RLS)
  • Microsoft Fabric
  • Tableau
  • AWS (S3, Glue, Redshift)

Where I've Worked

Data Analyst @ UnitedHealth Group

Feb 2025 – Present

  • Built Power BI dashboards on Snowflake using advanced SQL (CTEs, window functions, complex joins) to analyze 50M+ claims and $150M+ in spend, tracking Medical Loss Ratio and AR aging to improve financial visibility during monthly close cycles.
  • Performed root cause analysis on claim denials across ICD-10, CPT/HCPCS, and authorization records; identified coding gaps that reduced avoidable denials by 15%, an estimated $4.2M increase in annual reimbursement recovery.
  • Engineered feature datasets in Python (pandas, scikit-learn) for claim denial propensity modeling — provider behavior, historical denial patterns, utilization signals — partnering with data science on model development and monitoring.
  • Ran hypothesis-driven analysis with statistical significance testing to confirm denial reductions came from process improvements rather than seasonal volume shifts, validating a $2M reduction in manual rework costs.
  • Established HIPAA-compliant pipelines in Azure Databricks (PySpark) to ingest and standardize EDI 837/835 and FHIR datasets, with automated data quality checks reaching 99.9% data integrity for audit readiness.
  • Collaborated with Finance and Operations to prioritize high-dollar, high-risk claims and optimize authorization workflows, reducing processing delays by 22%.

Data Analyst @ Swiss Re

Jun 2020 – Jul 2023

  • Architected a Databricks claims analytics model in SQL and PySpark to centralize policy terms, trigger attributes, and claims data, establishing parametric and indemnity claims logic as the single source of truth for pre-approval validation.
  • Developed Power BI semantic models (DAX + SQL) linking claims outcomes to policy and trigger data, with rule-based logic gates and exception reporting enabling 25–35% safe auto-approval and cutting median triage time 87% (24 hours → 3 hours).
  • Built automated data quality and reconciliation pipelines enforcing schema consistency, null/range validation, and cross-field business rules — reducing manual validation effort 50% and reconciliation exceptions 40%.
  • Delivered operational dashboards using drill-through, bookmarks, and row-level security to monitor claims SLAs, auto-approval performance, and exception drivers with governed access across actuarial and claims teams.
  • Partnered with Actuaries and Claims Leads to translate evolving policy language and risk thresholds into governed SQL and PySpark business rules, keeping logic updates controlled and reporting metric-consistent.

Education

St. Francis College

Master of Science in Information Technology

Aug 2023 – Dec 2024

Certifications

Microsoft Certified: Fabric Analytics Engineer Associate

Microsoft Certified: Power BI Data Analyst Associate

Some Things I've Built

What's Next?

Get In Touch

I'm currently looking for new opportunities, and my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!

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