Healthcare Informatics & Analytics Specialist | Data Engineer | AI Research Enthusiast
With over 9 years of professional experience, I transform healthcare data into actionable insights that drive patient-centered care and innovation. My journey spans healthcare informatics, advanced analytics, data engineering, and project management—always guided by the belief:
"Knowledge is the best investment; it gives the best interest."
Currently, I am exploring the fascinating intersection of AI and emotional dependency in healthcare, striving to uncover new ways technology can support well-being.
- Stanford Healthcare Technology & Digital Solutions: Finance & Business Ops Intern (2025–Present)
- NYU Langone Health: Senior Business Intelligence (Contract: Clairvoyant Pvt. Ltd., 2021–2023)
- Sutter Health: Business Intelligence Developer (Contract: Deloitte Consulting, 2019–2021)
- CommonSpirit Health (formerly Catholic Health Initiatives): Consultant (Associate Lead, 2014–2019)
- Epic Systems: ASAP, Smartforms, Orders, Ambulatory, ClinDoc, Cogito, Radar Dashboards, Reporting Workbench
- Programming/Data Engineering: SQL, PL-SQL, Impala, Python, GSuite, GitHub, Hadoop, AWS Glue, Google Cloud Platform (BigQuery)
- Analytics & Reporting: Tableau, Power BI, Crystal Reports
- Machine Learning: Regression, Random Forest, Naive Bayes, K-NN, SVM; Pandas, NumPy, Scikit-learn
- Data Integration: ETL pipelines, data governance, compliance
- Healthcare: ADT metrics, oncology pathology, ICD/CPT analysis, value-based care
- Project Management: Agile, Scrum, stakeholder engagement, training & mentorship
- MS – Health Data Analytics, University of North Texas (Fall 2024)
- MBA – Hospital & Healthcare Management, Apollo Institute (2014)
- BTech – Computer Science Engineering, Malla Reddy Engineering College (2011)
- Certifications: Epic ASAP, Cogito, Clarity/Caboodle Data Models, MySQL, Python Basics, ITIL, Six Sigma Green Belt
- Recognized with Spot Awards & Optimistic Awards for technical leadership
- Led implementation of analytics frameworks across healthcare systems
- Enhanced reporting accuracy, reducing decision-making time for clinical teams
- Alzheimer's and Healthy Aging Dashboard: Portfolio
- Hospital Collaboration Study: Strategic process optimization for better patient care
- Breast Cancer Classification (ML): Achieved ~96% accuracy with Random Forest, Naive Bayes, SVM
- Housing Price Trends Pre/Post-COVID: Regression analysis for resilience insights
See more on my Portfolio
- AI & Emotional Dependency: Investigating the impact and potential of artificial intelligence in supporting emotional health and well-being.
- Photography enthusiast—I love capturing memories, moments, and the stories behind them. While I haven’t pursued formal training, photography remains a creative outlet and a way to see the world through new perspectives.
- Portfolio
- Email: teijahebshibah@gmail.com (DM for collaboration)
Let’s connect and collaborate on advancing healthcare through data, technology, and curiosity!