Suhana Shaik profile photo 1 on Tal

Suhana Shaik

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

Catonsville

5+ years of work experience

LifeBridge Health
Jan 20242 yrs 8 mosPresent

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.
Zimmer Biomet
Jun 20202 yrs 7 mosDec 2022

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.

Suhana’s AI Stack

antigravity
antigravity
codex
codex

Education

University of Maryland Baltimore County

Master's degree, Data science

University of Maryland Baltimore County

Join Suhana and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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