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TiaKohir/README.md

๐Ÿ‘‹ Hi, I'm Tia

Healthcare Informatics & Analytics Specialist | Data Engineer | AI Research Enthusiast


๐ŸŒŸ About Me

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 managementโ€”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.


๐Ÿ’ผ Experience

  • Stanford Healthcare Technology & Digital Solutions
  • NYU Langone Health
  • Sutter Health
  • CommonSpirit Health (formerly Catholic Health Initiatives)

๐Ÿ› ๏ธ Skills & Technologies

  • 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

๐ŸŽ“ Education & Certifications

  • MS โ€“ Health Data Analytics,
  • MBA โ€“ Hospital & Healthcare Management
  • BTech โ€“ Computer Science Engineering
  • Certifications: Epic ASAP, Cogito, Clarity/Caboodle Data Models, MySQL, Python Basics, ITIL, Six Sigma Green Belt

๐Ÿ† Achievements

  • 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

๐Ÿ”ฌ Featured Projects

  • Alzheimer's and Healthy Aging Dashboard
  • 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

๐Ÿ“š Current Research

  • AI & Emotional Dependency: Investigating the impact and potential of artificial intelligence in supporting emotional health and well-being.

๐Ÿ“ธ Beyond Data

  • Photography enthusiastโ€”I love capturing memories, moments, and the stories behind them. While I havenโ€™t pursued formal training, photography remains a creative outlet and a way to see the world through new perspectives.

๐Ÿ“ซ Connect With Me


Letโ€™s connect and collaborate on advancing healthcare through data, technology, and curiosity!

Popular repositories Loading

  1. clinical-summary-eval clinical-summary-eval Public

    Active research, in progress - an eval harness for clinical note summarization: is a summary clinically good enough to act on? (factuality + clinical relevance, Claude/GPT/Gemini)

    Python 1

  2. clinician-work-telemetry clinician-work-telemetry Public

    Active research, in progress - methodology + framework for measuring what an AI deployment actually changes in clinician work (pre/post, difference-in-differences, displacement effects)

    Python 1

  3. clinician-alert-fatigue-adoption clinician-alert-fatigue-adoption Public

    Active research, in progress - literature synthesis + framework on how alert fatigue and clinician AI adoption trade off, and what deployment strategy can do about it

    1

  4. TiaKohir TiaKohir Public

  5. tiakohir.github.io tiakohir.github.io Public

    Portfolio

    HTML

  6. Healthcare-Fabric-Analytics Healthcare-Fabric-Analytics Public