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ajithkumarkannan/README.md

Hi! My name is Ajith Kumar Kannan

πŸŽ“ Doctor | Healthcare Data & Quality Analytics | Health Informatics Graduate Student

I'm passionate about leveraging data analytics, machine learning, and NLP to drive insights in healthcare. With experience in healthcare data analysis, quality metrics, and medical informatics, I specialize in working with electronic health records (EHR), predictive modeling, and healthcare databases.

πŸ‘¨β€πŸ’» About Me

  • πŸŽ“ Currently a Graduate Student Pursuing M.S. in Health Informatics at Rutgers University (Graduating May 2025).

  • πŸ₯ Former Quality Analytics Intern at Alameda Health System (AHS) & Clinical Intern at Sir Run Run Shaw Hospital Affiliated to Zhejiang University (ζ΅™ζ±Ÿε€§ε­¦).

  • πŸ”¬ Passionate about healthcare informatics, Healthcare Quality analytics, and Patient Care.

  • πŸ“Š Strong background in Clinical Medicine, Patient Care, Statistical analysis, Data Visualization, and Medical Terminologies.

  • πŸ€– Currently exploring NLP in healthcare and working on a project using PyTorch, TensorFlow, GPT, Bert, spaCy, SciSpaCy, and MIMIC-IV data.

  • πŸ“ Research interests: Medical coding validation, patient safety indicators, and health disparities.

πŸ› οΈ Technical Skills

πŸ”Ή Programming: Python (Pandas, NumPy, SciPy, spaCy, SciSpaCy), R, SQL, SAS

πŸ”Ή Data Visualization: Tableau, Matplotlib, PowerBI

πŸ”Ή Databases: MySQL, BigQuery

πŸ”Ή Statistical Analysis: ANOVA, Regression, Survival Analysis

πŸ”Ή Machine Learning: Predictive Modeling, NLP, Named Entity Recognition (NER)

πŸ”Ή Healthcare Data & Standards: ICD-10, CPT, HCPCS, HL7, FHIR, AHRQ, TJC, HCAHPS, MIPS

πŸš€ Featured Projects

πŸ“Œ Comparative Analysis of Length of Stay – Analyzed LOS in Neurology, Cardiology, and Endocrinology using SPSS & statistical tests.

πŸ“Œ Predictive Analysis of Metabolic Syndrome – Used Python for risk factor modeling.

πŸ“Œ Early Vs Late CRRT in ICU Patients – Conducted survival analysis using MIMIC-IV & R from a Research-a-thon.

πŸ“Œ ICD-10 Code Validation using NLP – Ongoing NLP project applying NER & Relation Extraction to validate medical codes.

πŸ“š Publications & Research Work

πŸ“ Implementing Accurx for Total Triage Enhancing Care Navigation and Patient Experience – Click Here for Article Link

πŸ“ Frederick G Banting (1891-1941): A Pioneer in Diabetes Treatment – Click Here for Article Link

πŸ“« Connect with Me

πŸ“§ Email

πŸ’Ό LinkedIn

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  1. Data-Science-Programming-Project Data-Science-Programming-Project Public

    Predictive Analysis of MetS Risk Factors using Python

    Jupyter Notebook

  2. icd10-code-validation-nlp-mimiciv icd10-code-validation-nlp-mimiciv Public

    Jupyter Notebook

  3. R-program-project R-program-project Public

    R

  4. SAS-project SAS-project Public

  5. SQL-Project SQL-Project Public

    This Repository contains the MySQL project materials.

  6. Tableau-Project Tableau-Project Public