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I am a results-oriented data professional with over 4 years of experience turning data into actionable insights across healthcare and financial services. I thrive on building predictive models, dashboards, and automated pipelines that drive compliant, efficient decision-making and measurable outcomes. I enjoy partnering with cross-functional teams to translate business challenges into data-driven strategies, build robust data governance, and deliver scalable analytics solutions using Python, SQL, and modern cloud platforms. My work spans fraud detection, patient risk forecasting, claims accuracy, and spend optimization, with a focus on HIPAA, HL7, and GDPR compliance.…I am a results-oriented data professional with over 4 years of experience turning data into actionable insights across healthcare and financial services. I thrive on building predictive models, dashboards, and automated pipelines that drive compliant, efficient decision-making and measurable outcomes. I enjoy partnering with cross-functional teams to translate business challenges into data-driven strategies, build robust data governance, and deliver scalable analytics solutions using Python, SQL, and modern cloud platforms. My work spans fraud detection, patient risk forecasting, claims accuracy, and spend optimization, with a focus on HIPAA, HL7, and GDPR compliance.

Greeshma Chalasani

Data Analyst, Data Scientist, AI Engineer, +2

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I am a results-oriented data professional with over 4 years of experience turning data into actionable insights across healthcare and financial services. I thrive on building predictive models, dashboards, and automated pipelines that drive compliant, efficient decision-making and measurable outcomes. I enjoy partnering with cross-functional teams to translate business challenges into data-driven strategies, build robust data governance, and deliver scalable analytics solutions using Python, SQL, and modern cloud platforms. My work spans fraud detection, patient risk forecasting, claims accuracy, and spend optimization, with a focus on HIPAA, HL7, and GDPR compliance.…I am a results-oriented data professional with over 4 years of experience turning data into actionable insights across healthcare and financial services. I thrive on building predictive models, dashboards, and automated pipelines that drive compliant, efficient decision-making and measurable outcomes. I enjoy partnering with cross-functional teams to translate business challenges into data-driven strategies, build robust data governance, and deliver scalable analytics solutions using Python, SQL, and modern cloud platforms. My work spans fraud detection, patient risk forecasting, claims accuracy, and spend optimization, with a focus on HIPAA, HL7, and GDPR compliance.

Available to hire

I am a results-oriented data professional with over 4 years of experience turning data into actionable insights across healthcare and financial services. I thrive on building predictive models, dashboards, and automated pipelines that drive compliant, efficient decision-making and measurable outcomes.

I enjoy partnering with cross-functional teams to translate business challenges into data-driven strategies, build robust data governance, and deliver scalable analytics solutions using Python, SQL, and modern cloud platforms. My work spans fraud detection, patient risk forecasting, claims accuracy, and spend optimization, with a focus on HIPAA, HL7, and GDPR compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Analyst at Cardinal Health

June 1, 2023 - Present

Initiated advanced data analytics programs in the highly regulated U.S. healthcare sector, ensuring 100% HIPAA and HL7 compliance across projects. Partnered with payer-provider teams to translate business challenges into measurable analytics goals, improving claim validation accuracy organization-wide by 28%. Planned data strategy for Claims Data Analysis and Fraud Detection using Python and SQL to lower false claim rates by 31%. Designed Patient Risk Prediction and Readmission Forecasting models leveraging ML and Social Determinants of Health data, reducing readmission rates for chronic diseases by 26%. Built Provider Performance Dashboards in Tableau and Power BI, automating insights for 50+ providers and reducing manual reporting time by 40%. Migrated analytics infrastructure to Google Cloud Platform (BigQuery) and Databricks, boosting scalability and query performance by 42%.

Data Analyst at Wipro

July 1, 2020 - July 1, 2022

Initiated data-driven risk analytics initiatives ensuring compliance with SOX, AML/KYC, and GDPR, strengthening enterprise financial integrity and fraud governance. Designed Credit Risk Scoring models using Python, SQL, and Power BI, improving credit decision accuracy by 22% and reducing delinquency rates by 15%. Developed Fraud Detection via anomaly analysis models, lowering false positives by 18% and saving $2.4M annually. Segmented high-value customer cohorts through Customer Segmentation and Churn Prediction analytics, enhancing retention campaigns and boosting renewal rates by 21%. Conducted Claims and Underwriting Analytics across policy and claims data, identifying risk anomalies that reduced underwriting turnaround time by 27%. Automated ETL pipelines in Python and SQL Server, consolidating multi-source transaction data and improving data refresh frequency from weekly to near real-time. Built Financial Forecasting and Spend Optimization models using regression techniques, enabl