Surya Vamshi Sriperambudooru — Associate Consultant
🌟 AI & Business Intelligence Engineer | Healthcare Claims Analytics | RAG & Predictive Modeling I’m Surya Vamshi Sriperambudooru, a results-driven AI & BI Engineer with 4+ years of experience building RAG copilots, predictive models, and end-to-end BI that deliver 20% cost savings, 35% revenue growth and 40% efficiency gains for payers—while operating within HIPAA-compliant workflows. I turn messy claims data into clear, defensible decisions for appeals, clinical, and operations teams. I specialize in claim triage modeling, appeals automation, and scalable analytics stacks—bridging SQL/Snowflake/dbt pipelines with ML (XGBoost, Logistic Regression) and LLM apps (LangChain, FAISS, Hugging Face via Streamlit) to prioritize high-win claims and accelerate recoveries. 🔍 Key Achievements • Built a RAG-powered Appeals Copilot that ingests payer & CMS policies to produce citation-backed justifications and first-draft appeal letters; cut manual drafting time by 40% and lifted appeal uphold rate by +28 pp. • Trained claim-ranking XGBoost and Logistic Regression models that surface 70%+ probability bands, replacing FIFO/dollar-based triage and speeding approvals. • Analyzed $500M+ monthly claims across 5 payers; drove a 20% increase in cost savings through SQL-driven overpayment detection and coding insights. • Automated 10+ MTD/YTD reports and built 5 Tableau dashboards; reduced ad-hoc TAT from 3.0→1.5 days and cut claims inventory by 30% via root-cause analysis. • Designed an incentive-compensation plan for 80 oncology reps; Increased revenue by +35% with real-time Power BI/Tableau visibility. • Reduced plant downtime by 15% and improved anomaly detection by 60% with sensor analytics & Excel automation. 💡 Skills Databases & Warehouses: Snowflake, Oracle, SQL Server, MySQL, MinIO S3 Programming: Python (Pandas, NumPy, scikit-learn, Matplotlib), SQL, R BI & Visualization: Power BI (DAX, DirectQuery), Tableau, SAP BusinessObjects, Plotly, Excel, Power Point Data Engineering & Orchestration: dbt, Apache Airflow, Apache Kafka, Docker ML & Analytics: Logistic/Linear Regression, Decision Trees, Random Forest, XGBoost, K-Means, PCA, CNN+LSTM; A/B testing, time-series analysis NLP & LLM: Retrieval-Augmented Generation, LangChain, FAISS, Hugging Face, Streamlit Healthcare Domain: Medicaid/Medicare, ICD-10/CPT/DRG, POS/specialty/denial reason, FWA & appeals; HIPAA-compliant data workflows 🤝 Let’s Connect Email: sv.sriperambudooru@gmail.com Phone: +1 (623)-225-0358
Stackforce AI infers this person is a Healthcare Analytics Specialist with strong skills in AI and Business Intelligence.
Experience: 3 yrs 3 mos
Skills
- Sql
- Data Analysis
- Data Visualization
Career Highlights
- Achieved 20% cost savings through claims analysis.
- Developed RAG-powered Appeals Copilot, improving appeal uphold rate.
- Designed dashboards that enhanced data-driven decision-making.
Work Experience
The University of Texas at Dallas
Program Mentor, Business Analytics Leadership Council (BALC) (4 mos)
Cotiviti
Business/Insights Analyst (1 yr)
Qualminds Technologies PrivateLimited
Data Analyst (7 mos)
ArcelorMittal Nippon Steel India
Analyst (10 mos)
AXIS,VNIT Nagpur
Head Of Logistics (7 mos)
Event Organizer (3 mos)
Education
Master of Science - MS at The University of Texas at Dallas
Bachelor of Technology at Visvesvaraya National Institute of Technology