Tarun Siga

AI Researcher

Kansas City, Missouri, United States5 yrs 1 mo experience

Key Highlights

Expert in transforming healthcare data into actionable insights.
Proven track record in building automated data workflows.
Skilled in advanced analytics and data visualization.

Stackforce AI infers this person is a Healthcare Data Engineer with expertise in analytics and visualization.

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Skills

Core Skills

Data AnalyticsData VisualizationData EngineeringEtlData Analysis

Other Skills

AWSAgile & Waterfall MethodologiesAgile MethodologiesAmazon Web Services (AWS)Analytical SkillsApache KafkaApache NiFiAutomated Machine Learning (AutoML)Azure Data FactoryAzure DatabricksAzure DevOpsAzure DevOps ServicesBoomi MDHBusiness InsightsC (Programming Language)

About

I’m a data professional who loves turning complex healthcare data into actionable insights. My career started in data engineering—building and optimizing pipelines with Big Data technologies like Hadoop and Spark, using ETL tools such as Apache NiFi and Kafka, and working across cloud platforms including AWS and GCP. Today, as a Provider Analytics Data Scientist at Blue Cross and Blue Shield of Kansas, I combine that engineering foundation with advanced analytics and visualization. I design automated SQL workflows and build interactive Power BI dashboards that help leaders understand provider spend, track reimbursement changes, and make smarter decisions. Whether I’m streamlining manual processes, uncovering trends in millions of claims, or collaborating with cross-functional teams, my goal is the same: to deliver clear, trustworthy insights that drive better outcomes for the business and the people it serves.

Experience

5 yrs 1 mo

Total Experience

1 yr 4 mos

Average Tenure

1 yr

Current Experience

Blue cross and blue shield of kansas

Provider Analytics Data Scientist

Jun 2025 – Present · 1 yr · Kansas City, Missouri, United States

Key Responsibilities:
Analyze and interpret large, complex healthcare claims datasets (Medicare Advantage and commercial) using IBM DB2/QMF, Python, and advanced SQL to identify trends and actionable insights.
Build and automate enterprise level Power BI dashboards and dynamic DAX measures to support reimbursement rate updates, provider spend analysis, and executive reporting.
Partner with cross-functional teams including Provider Network Solutions, Actuarial, Finance, and Provider Reimbursement to translate business needs into scalable, data-driven solutions.
Streamline manual Excel based processes by developing automated queries and structured data pipelines that improve accuracy, auditability, and efficiency.
Highlighted Projects & Achievements:
2026–2027 Reimbursement Automation: Led the end-to-end design of a fully automated SQL workflow that merged multiple complex QMF queries and eliminated manual Excel steps, dramatically reducing processing time and error risk.
Rolling 4-Year Provider Spend Dashboard: Re engineered an Excel “Big 6” report into an interactive Power BI dashboard with year-over-year metrics, custom projections, and executive-level visual storytelling.
Professional MAP Updates Dashboard: Created a modern, visually impactful Power BI report with dynamic visuals and custom DAX measures to track reimbursement changes and support strategic decision-making.
Improved internal analytics capabilities by introducing best practices for query optimization, data governance, and reproducible reporting.

IBM DB2/QMFPythonSQLPower BIDAXData Governance+2

Service oklahoma

Business and Reporting Analyst

May 2025 – Jun 2025 · 1 mo · Oklahoma City, Oklahoma, United States · On-site

Humana

Data Engineer

Jul 2024 – Apr 2025 · 9 mos · Texas, United States

Implemented Agile methodologies to streamline development cycles, resulting in faster project completions.
Designed and managed ETL pipelines using SSIS, Apache NiFi, and Apache Kafka, achieving a 30% boost in data processing efficiency.
Developed scalable data pipelines with Hadoop and MapReduce for detailed data analysis.
Utilized AWS services (S3, EC2) for dataset migration, cutting structure costs by 20%.
Enhanced deployment speed and reliability by 40% through Docker and Jenkins.
Automated workflows with Python (NumPy, Pandas), optimizing data processing.
Created data visualizations in Tableau, driving a 25% increase in customer retention and 10% cost savings.
Improved data retrieval speed by 35% with high-availability storage systems (Snowflake, MySQL, PostgreSQL).

Agile MethodologiesETLSSISApache NiFiApache KafkaHadoop+2

The webtrex software services

Data Engineer

Sep 2021 – Dec 2022 · 1 yr 3 mos · India

Led data solutions development using Azure DevOps and CI/CD pipelines, ensuring scalable and high-quality solutions.
Enhanced data integration processes with Databricks and Boomi MDH, improving data quality and accessibility.
Managed ETL processes with Apache NiFi and Azure Data Factory, increasing efficiency by 25%.
Designed real-time dashboards in Tableau for insights into healthcare provider fraud and opioid misuse.
Directed enterprise compliance and business processes with AWS services and analytics.

Azure DevOpsDatabricksETLTableauAWSData Engineering+1

Seagate technology

Data Analyst

Jul 2019 – Aug 2021 · 2 yrs 1 mo · India

Applied Waterfall methodologies to improve project management efficiency by 25%.
Optimized SQL queries, boosting data extraction speed by 40%.
Developed machine learning models with Scikit Learn and visualizations with ggplot2, enhancing dataset analysis by 40%.
Produced comprehensive Power BI and Excel reports, increasing data comprehension by 35%.
Leveraged DataBricks for scalable processing, improving operational efficiency by 30%.
Implemented MongoDB solutions for improved data integrity and management, increasing performance by 20%.

Waterfall MethodologiesSQLMachine LearningPower BIMongoDBData Analysis+1