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Nikhil Parvatapuram

Nikhil Parvatapuram

Data Analyst

About Me

Healthcare & Financial Data Specialist | Predictive Modeling | ETL Automation I deliver measurable business impact through enterprise-scale analytics. Currently at Centene processing 15M+ claims, where I've improved risk identification accuracy by 21% and reduced reporting cycles by 32%. What I Do: - Process and model million-record datasets (SQL, Python, Snowflake) - Build automated workflows that increase team efficiency by 25-75% - Design dashboards that drive executive decision-making - Ensure HIPAA/regulatory compliance in healthcare analytics Why Companies Hire Me: ✓ Proven 20%+ improvements in accuracy, speed, and cost ✓ Full-stack capability: data engineering → analytics → visualization ✓ Healthcare domain expertise (claims, risk, quality metrics) ✓ Communicates complex insights to executives & technical teams Open to roles in healthcare, fintech, and data-driven companies. Let's connect!

Experience

Data Analyst

Centene Corporation

Aug 2024 --- Present

  • Processed 15M+ medical & pharmacy claims via Snowflake/PostgreSQL; developed predictive risk stratification models (Scikit-learn, TensorFlow) that improved high-risk member identification accuracy by 21%, enabling targeted interventions for 100K+ members
  • Engineered automated claims cleansing workflows using Alteryx that reduced reporting cycle latency by 32% and manual data handling by 75%, enabling real-time insights for actuarial team
  • Optimized data warehouse performance by tuning Snowflake and Redshift queries, reducing query run times by 35%, improving data loading efficiency for analytics teams
  • Designed executive performance dashboards in Tableau integrating clinical quality indicators and provider benchmarking metrics, improving decision-making speed by 25%
  • Implemented HIPAA-compliant data governance and validation rules using SQL/Python, reducing data errors by 30% and ensuring regulatory compliance
  • Integrated GitHub for version control and developed data pipelines with SSIS and AWS, reducing data access time by 27% for claim adjudication

Data Analyst

Deloitte

May 2021 --- Jun 2023

  • Built a financial analytics platform with SQL and Power BI, automating key processes and enabling 30% faster decision-making for finance leaders.
  • Analyzed 8 million financial transactions using Python and MySQL, supporting strategic planning with profitability assessments and revenue trend evaluations.
  • Designed interactive Power BI dashboards and Excel trackers, presenting KPIs and cost ratios, which strengthened reporting efficiency by 28%.
  • Conducted variance evaluations, improving forecast reliability by 18% through structured validation and compliance-aligned reporting workflows.
  • Implemented ETL pipelines using SSIS and Informatica, standardizing multi-source financial data and saving over 40 hours per month in reconciliation efforts.
  • Automated Azure data extraction and ETL workflows using CTEs and Git version control, reducing manual reconciliation by 40 hours/month and accelerating insight delivery by 33%

Skills

Programming & Querying: Python
SQL
Pandas
NumPy
CTEs
JOINS
Databases & Warehousing: Snowflake
Redshift
PostgreSQL
SQL Server
MySQL
Data Visualization: Tableau
Power BI
Advanced Excel
Pivot Tables
ETL & Data Integration: Alteryx
SSIS
Informatica
Data Wrangling
Data Validation
Machine Learning & Analytics: Scikit-learn
TensorFlow
Predictive Modeling
Regression
A/B Testing
Cloud & Development: AWS
Azure
Git
GitHub
Agile
SDLC
Domain & Compliance: HIPAA Compliance
Claims Analysis
Risk Adjustment
Data Governance
Root Cause Analysis

Education

Master of Science, Business Analytics

University of the Pacific -- Stockton, CA, USA

Aug 2023 --- Dec 2024

Bachelor of Business Administration, Finance, Analytics

Indian Institute of Management and Commerce -- Hyderabad

Jul 2019 --- Aug 2022

Get In Touch

[email protected](551)-298-3690San Francisco Bay Area, CA | Open to Remote