---
title: "Suhana Shaik - Healthcare Data Analyst in Catonsville | Tal"
description: "Meet Suhana Shaik, Data Analyst| SQL, Python, Tableau, Power BI | Healthcare & Life Sciences Analytics based in Catonsville. AI stack includes antigravity and codex."
image: "https://tal.club/meet/suhana-shaik/share-image"
---

# Suhana Shaik on Tal

## Headline

Data Analyst\| SQL, Python, Tableau, Power BI \| Healthcare & Life Sciences Analytics

## About

• Healthcare Data Analyst with 5\+ years of experience driving clinical, operational, and pharmaceutical analytics across hospital systems and life sciences\. Expertise in population health management, revenue cycle optimization, value\-based care, and real\-world evidence \(RWE\) — delivering measurable outcomes including 11% reduction in 30\-day readmissions, $1\.2M revenue recovery, and 40% ETL efficiency gain\. • Proficient in EHR/EMR platforms \(Epic, Cerner\), healthcare data standards \(ICD\-10, CPT, DRG, HL7, FHIR, NDC\), claims analytics, and clinical decision support — with a strong track record of HIPAA\-compliant reporting and audit readiness\. • Collaborative partner to clinical, finance, and operational stakeholders in Agile environments, translating complex healthcare datasets into executive dashboards and actionable quality improvement insights\.

## Location

Catonsville

## AI stack

antigravity

codex

## Work experience

Healthcare Data Analyst at LifeBridge Health, Jan 2024 \- Present · 2 yrs 8 mos, United States, • Led population health analytics and drug commercialization initiative, analyzing 50M\+ patient\-level claims, EHR, and pharmacy datasets using SQL, Python, and Advanced Excel to identify at\-risk populations and support value\-based care strategies\. • Partnered with clinical and finance stakeholders to define KPIs for drug commercialization, payer mix, and formulary coverage — supporting market access decisions and revenue cycle optimization impacting $15M\+ in revenue insights\. • Built interactive Tableau and Power BI dashboards to monitor clinical quality measures \(CQMs\), HEDIS metrics, readmission trends, payer mix, and provider behavior — reducing manual reporting effort by 35\+ hours/month\. • Engineered automated ETL pipelines using Python, SQL, and Alteryx to ingest and integrate multi\-source healthcare data \(claims, EHR, pharmacy\), improving data processing efficiency by 40%\. • Performed real\-world evidence \(RWE\) analysis applying propensity score matching and survival analysis to support clinical outcomes research and market access decision\-making\. • Built data validation frameworks using Python to detect anomalies, enforce PHI/PII compliance, and maintain HIPAA aligned quality standards — identifying 200\+ data issues per cycle across integrated systems\. • Leveraged healthcare data standards \(ICD\-10, CPT, DRG, HL7, FHIR, NDC\) with Epic and Cerner EHR platforms to ensure accurate data integration, regulatory compliance, and consistent cross\-system reporting\.

Healthcare Data Analyst at Zimmer Biomet, Jun 2020 \- Dec 2022 · 2 yrs 7 mos, India, • Designed interactive Tableau dashboards to visualize revenue cycle performance, utilization metrics, length of stay, readmissions, and occupancy across 4 business units — supporting operational and clinical leadership decisions\. • Identified $1\.2M in revenue leakage through SQL\-based billing and medical coding analysis \(ICD\-10, CPT, DRG\), combined with validation of 15,000\+ patient records using missing value treatment and PHI compliance checks improving claim approval rates by 18% and financial performance across the revenue cycle\. • Developed predictive models using Python \(logistic regression, random forest\) with feature engineering to identify high risk patients and reduce 30\-day readmissions by 11%, supporting clinical quality improvement initiatives\. • Conducted A/B testing on appointment scheduling strategies, reducing patient no\-show rates by 14% and translating analytical findings into actionable business recommendations for operations teams\. • Ensured compliance with HIPAA\-equivalent standards, healthcare data governance policies, and audit requirements successfully passing 3 audits with zero findings\. • Worked in Agile/Scrum environments using Git for version control, ensuring structured reporting, requirement traceability, and collaboration across analytics, clinical, and business teams\.

## Education

Master's degree, Data science, University of Maryland Baltimore County

[View the original profile](https://tal.club/meet/suhana-shaik)

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