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  • Ireland
  • 01:51 (UTC +01:00)

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Sananthaasenthamaraikannan/README.md

Hello Nerds! 👋

MSc Health Data Science | Clinical Data Science | Med-Tech & Digital Health

I am a Master’s student in Health Data Science focused on applying biostatistical rigor, structured data engineering, and semantic modeling to advance medical technology and digital health systems. My work centers on transforming complex clinical datasets into validated, analysis-ready formats that enable evidence-based decision-making and scalable health analytics.

Beyond analysis, I am deeply interested in product-oriented clinical data systems particularly in how ontology-driven architectures, interoperable data models, and semantic frameworks can power reliable, user-centered healthcare platforms.

Areas of Focus

Clinical Trial Data Curation & SDTM Validation

Biostatistics & Advanced Statistical Modelling (GLMs, Survival, Bayesian Methods)

Evidence Synthesis & Comparative Effectiveness

Endpoint Harmonization & Estimand Interpretation

ETL Pipelines for Multi-Source Healthcare Data

Semantic Data Modeling & Ontology-Driven Interoperability

Reproducible Analytical Workflows

Clinical Data Product Development & System Design

Healthcare & Med-Tech Experience

Through internships in health sciences and clinical data environments, I have:

Curated clinical trial datasets across multiple SDTM domains

Applied rule-based validation frameworks to ensure data integrity

Standardized heterogeneous clinical variables for statistical analysis

Designed ETL workflows integrating multi-source healthcare data

Contributed to ontology-driven semantic mapping to enhance interoperability

Supported usability and workflow improvements in clinical data platforms

These experiences strengthened my understanding of regulatory-aware data practices, structured documentation, and the design of scalable clinical data systems that bridge analytics and product development.

Technical Stack Statistical & Clinical Analytics R – Statistical Computing, GLMs, Survival Analysis, Bayesian Modelling, Reproducible R Markdown Python – Data Preprocessing, Machine Learning, ETL Scripting SQL – Relational Databases, Data Integration

Data Engineering & Interoperability ETL Pipelines, Structured Data Transformation, Validation Frameworks, Ontology Mapping, Knowledge Graph Concepts

Web & Application Development React – Frontend Web Application Development RESTful APIs – Data Exchange & Integration Django – Backend Development & ORM MySQL – Relational Database Management Application Workflow Design & UI/UX Prototyping

Reproducibility & Version Control Git, Branch-Based Workflows, Commit Tracking, Pull/Push & Merge Resolution

Popular repositories Loading

  1. Django-MySQL-CRUD Django-MySQL-CRUD Public

    Django + MySQL CRUD app demonstrating ORM-based create/read/update/delete workflows.

    SCSS

  2. Shiny-Web-Application Shiny-Web-Application Public

    An interactive R Shiny dashboard designed to support time-to-event (survival) analysis and structured interpretation of clinical outcomes. The application enables users to explore survival patterns…

    R

  3. Clinical-Trial-Data-Curation-Bayesian-Network-Meta-Analysis-HbA1c-Week-40-52- Clinical-Trial-Data-Curation-Bayesian-Network-Meta-Analysis-HbA1c-Week-40-52- Public

    This project demonstrates an end-to-end workflow for clinical trial data curation and Bayesian network meta-analysis (NMA) using HbA1c outcomes aligned to a consistent Week 40–52 time window.The fo…

    R

  4. Sananthaasenthamaraikannan Sananthaasenthamaraikannan Public

  5. Glioma-grading-clinical-mutation-prediction Glioma-grading-clinical-mutation-prediction Public

    Prediction modelling of glioma grade (LGG vs GBM) using clinical and mutation features from the TCGA dataset (UCI ML Repository).

  6. MSc-Research-Project-A-Spatial-Analysis-of-School-Travel-Behaviour-in-Ireland MSc-Research-Project-A-Spatial-Analysis-of-School-Travel-Behaviour-in-Ireland Public

    Forked from judithbeltranlopez/Final-Project

    Spatial analysis of school place accessibility and active travel behaviour across Irish Census Small Areas. Uses r5r, kriging, and Census 2022 SAPS data in R.

    HTML