Kavish Nagpal

Kavish Nagpal

Senior Power BI & Data Engineer | Power BI • SQL • PySpark • Azure | BI & Data Analytics | Product & UI/UX · Delhi, India

As a Senior Analyst with 6 years of experience, I am driven by a pragmatic and logical approach to data, consistently striving for mastery in transforming complex information into actionable insights. My commitment to accountability and reliability ensures that I deliver robust solutions, from data validation to dashboard building, empowering stakeholders with clear, impactful analytics.

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Contact details — on requestProof of Work — on request

Experience

R1 RCM

Senior Analyst

R1 RCM · Apr 2022 – Present

Not yet confirmed
R1 RCM

Senior Data Analyst

R1 RCM · Apr 2022 – Present

Not yet confirmed
R

Senior Product Analyst

R1 RCM Healthcare · Apr 2022 – Present

Not yet confirmed
  • Re-architected legacy operational reporting into dynamic SQL Server queries and Power BI ETL pipelines, cutting reporting turnaround time by 40% and boosting stakeholder platform utilization by 25%.
  • Built scalable star-schema data models, Row-Level Security (RLS) policies, and custom DAX measures to monitor operational healthcare delivery KPIs and revenue impact metrics.
  • Engineered Python data automation scripts utilizing Pandas and SQL connectivity to ingest multi-source files, reducing daily claims verification processing time from 1.5–2 hours to under 3 minutes.
  • Partnered with US Product Owners and Agile cross-functional teams to translate ambiguous business requirements into 15+ leading/lagging KPI frameworks and actionable decision-support scorecards.
  • Conducted statistical analysis and hypothesis testing on user event telemetry to validate product decisions, reducing false-positive insights by 30% and optimizing roadmap prioritization.
R

Senior Business Intelligence Analyst

R1 RCM Healthcare · Apr 2022 – Present

Not yet confirmed
  • Re-architected legacy operational reporting using optimized SQL Server queries and Power BI transformations, reducing reporting turnaround time by 40% and increasing stakeholder platform utilization by 25%.
  • Designed and optimized Power BI semantic models using star-schema architecture, including fact and dimension tables, relationships, Row-Level Security (RLS), and custom DAX measures supporting healthcare delivery KPIs and revenue-impact reporting.
  • Created interactive Power BI dashboards and decision-support scorecards for operational performance, claims verification, and product KPIs.
  • Managed Power BI Service delivery for operational reporting, including report publishing, workspace-based access, dataset refresh schedules, and troubleshooting refresh and report-availability issues to maintain reliable self-service BI.
  • Automated claims verification and reporting workflows using Power Query, Python, and SQL, reducing daily processing time from 1.5-2 hours to under 3 minutes.
  • Translated complex stakeholder requirements into 15+ KPI frameworks, analytical reports, and self-service BI solutions for Product Owners and cross-functional teams.
  • Partnered with cross-functional stakeholders to define reporting requirements, structure KPI logic, validate analytical outputs, and deliver BI solutions aligned with operational and business objectives.
Belz Instruments Pvt Ltd

Site Coordinator

Belz Instruments Pvt Ltd · Jul 2019 – Feb 2022

Not yet confirmed
Belz Instruments Pvt Ltd

Data Analyst

Belz Instruments Pvt Ltd · Jan 2019 – Jan 2022

Not yet confirmed
  • Consolidated and modeled operational data across 3–4 departments using multi-table SQL JOINs and advanced Excel models to establish standardized performance logs.
  • Automated morning performance report compilations using Power Query refresh templates, reducing daily compilation effort from 2 hours to 10–15 minutes.
  • Formulated and distributed technician capacity scorecards and queue aging metrics to laboratory leadership, optimizing operational scheduling efficiency by 15%.

Skills 0 proven through work

Also works with

Claims VerificationProject CompletionTransparent CommunicationProject TrackingWork Planning and PrioritizationBusiness Value RealizationReliability ImprovementTechnical Issue DetectionData PreprocessingSpeaking ClearlyAdaptabilityCustomer Relationship BuildingIndependent WorkReport CompilationData CollectionFeasibility and Impact AssessmentTeamworkStructured Work ApproachProcess UnderstandingSoftware ConsultingTaking OwnershipCloud ComputingAI Solution ImplementationBusiness AcumenAzure Synapse Analytics UsageAzure Data Lake UsageAzure Data Factory Pipeline DevelopmentDatabricks UsageAzure DeploymentData-Driven RecommendationsDecision Support System DevelopmentReal-Time Data FetchingWorkflow Automation (Spreadsheet-Based)Analytical ScopingData CurationExploratory Data Analysis (EDA)Data Unification and NormalizationData VisualizationProductivity AnalysisDays of Cover AnalysisPerformance Metrics AnalysisRevenue Impact EstimationUAT Sign-offFeature & Setting ConfigurationTabular Data Cleaning & ValidationBusiness AnalysisKPI AnalysisDatabase ViewsSolution ConsultingStakeholder Communication AdaptationProcess ImprovementWeighted Scorecard DevelopmentTechnical Solution DesignData Point IdentificationBusiness Logic ImplementationData Integrity ManagementMaintainability DesignQuery WritingWorkflow Design (Process Mapping)DAX Expression DevelopmentTask AutomationBusiness IntelligencePython DevelopmentData EngineeringProblem SolvingDashboard UI DesignWorkflow CoordinationRequirements AnalysisGoal setting (defining key results)Database Query OptimizationTechnical TroubleshootingData ModelingMicrosoft ExcelBusiness Rules VerificationData ValidationSpark SQLPySparkData ExtractionStakeholder ManagementAnalytical Report CreationData TransformationPower BIDatabase ManagementDaily Operational ReportingInfrastructure Re-architectureETL Pipeline Development

Proof of Work

Proof of Work

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Education

Bachelor of Commerce - BCom, Marketing

Swami Vivekananda Subharti University, Meerut · 2016 — 2019

Contact details

Contact details

Kavish shares this with people who ask. You'll hear back either way.

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