Headline

Business Intelligence Engineer & Data Analyst | 4+ Years Driving Healthcare & Insurance Insights with SQL, Machine Learning & Cloud Technologies

About

I am a results-driven Business Intelligence Engineer and Data Analyst with over 4+ years of experience specializing in healthcare, insurance, and fintech domains. I excel at leveraging SQL, Python, Snowflake, and advanced machine learning techniques to build data-driven solutions that optimize operational efficiency, enhance decision-making, and reduce costs. My expertise includes designing and automating ETL processes, developing interactive dashboards with Tableau, Power BI, and Looker, and collaborating cross-functionally with stakeholders and actuarial teams to create predictive models that deliver measurable business impact. Currently, at Elevance Health, I focus on healthcare data analytics to improve patient outcomes, reduce claim processing times, and detect fraud using data mining and machine learning. Passionate about transforming raw data into actionable insights, I combine technical proficiency with strong communication skills to help organizations thrive in data-driven environments.

Location

New York City Metropolitan Area

AI stack

cursor

claudecode

Work experience

Business Intelligence Engineer at Elevance Health, May 2023 - Present · 3 yrs 4 mos, New York, United States, •Developed and deployed data-driven solutions for predictive analytics, optimizing healthcare service offerings and reducing claim processing times by 17%, leveraging SQL and Python. • Designed interactive dashboards using Tableau and Power BI to track patient outcomes, improving decision-making for health care providers and increasing operational efficiency by 15%. • Automated ETL processes for healthcare claims data, enhancing data accuracy and reducing data retrieval time by 20% through cloud-based platforms like AWS and Snowflake. • Led data exploratory analyses for patient readmissions, decreasing hospital readmissions by 7% using machine learning algorithms and predictive analytics. • Collaborated with cross-functional teams, including product and engineering, to streamline data workflows using Jira within an Agile framework, ensuring project milestones were met on time. • Developed healthcare compliance reports for regulatory bodies, ensuring data integrity and meeting stringent healthcare standards with 100% accuracy using SQL and data visualization. • Collaborated with senior data analysts to refine predictive models for insurance risk assessments, reducing patient claims fraud by 10% through data mining and machine learning techniques.

Data Analyst at Mindtree, Sep 2020 - Aug 2022 · 2 yrs, India, •Engaged with internal stakeholders to gather data requirements for patient demographics and claim analysis, ensuring alignment across departments and improving data quality by 10% through Salesforce CRM and ETL tools. • Analyzed and cleaned large datasets related to patient demographics, improving data quality and accuracy by 12% using Python and R for statistical analysis. • Created custom reports using Excel and Power BI to track operational metrics, reducing reporting time by 15% and increasing visibility into healthcare service performance. • Developed and implemented data models to assess insurance claim risks, improving claim approval efficiency by 15% through SQL and predictive analytics. • Designed business intelligence dashboards in Power BI to track customer segmentation and insurance policy performance, leading to a 12% increase in cross-selling opportunities. • Designed and deployed Looker dashboards to monitor customer segmentation and fraud detection patterns, reducing fraudulent claims by 10% through data visualization.

Education

Master of Science - MS, Computer Science, UMass Boston

Bachelor of Engineering - BE, Information Technology, Pandit Deendayal Energy University

Public links

github: https://github.com/sarthakpansuria