VINEETH MURALEEDHARAN

About

Healthcare Data Analyst with a clinical background in radiation oncology and formal training in Data Science and Machine Learning. Experienced in data cleaning, exploratory analysis, statistical modelling, and dashboard development for real-world healthcare datasets.

Experience

• Radiation Therapist (Senior RTT)
  Amrita Institute of Medical Sciences
  Nov 2020 – May 2026

Education

• Applied Data Science, ML & AI Certification
  E&ICT Academy, IIT Guwahati
  Data Science, Machine Learning, AI · Dec 2025 – Nov 2026
• BSc Medical Radiologic Technology
  Amrita Vishwa Vidyapeetham University
  Medical Radiologic Technology · Aug 2016 – Sep 2020

Skills

• SQL
• Git
• GitHub
• Google Colab
• Python
• Jupyter Notebook
• Power BI
• Tableau
• MySQL
• Classification
• Matplotlib
• NumPy
• Pandas
• Streamlit
• scikit-learn
• DAX
• Seaborn
• Plotly
• Random Forest
• Excel
• XGBoost
• Regression
• DICOM
• Shap

Projects

• 4DCT PTV Volume Analysis - Lung SBRT
  Statistical analysis, clinical data collection, data visualisation

  Analysed planning target volumes from 3DCT vs 4DCT MIP across three lung lobes in radiotherapy patients.

• Census Income Classification
  Python, XGBoost, scikit-learn, Streamlit, GitHub

  Built a binary classification model on the UCI Adult Census dataset to predict income bracket.

• Life Expectancy Prediction
  Python, Random Forest, pandas, seaborn, Streamlit

  Built a Random Forest regression model on the WHO Life Expectancy dataset and deployed it as a Streamlit application.

• Medical Insurance Cost Prediction
  Python, scikit-learn, pandas, Streamlit, GitHub

  Built a regression pipeline to predict individual medical insurance costs from demographic and lifestyle features.

• NTCP Predictor - Lung Pneumonitis Risk
  Python, scikit-learn, XGBoost, SHAP, Streamlit, GitHub

  Developed a clinical decision support tool comparing the LKB NTCP model against an XGBoost classifier for predicting radiation-induced lung pneumonitis risk.

• Radiotherapy Patient Data Dashboard
  Python, Power BI, Tableau, Excel

  Built an end-to-end analytics dashboard on a real-world 5-year radiotherapy dataset covering treatment sites, modalities, machine utilisation, and patient throughput.

Courses & certifications

• Applied DS/ML/AI Certification · E&ICT Academy, IIT Guwahati · 2026
• AERB eLORA Radiation Therapy Certification · 21-00031
• HCPC Registered Radiation Therapist (UK) · RA094294

🗣️ Languages

• English · Professional
• Malayalam · Native
• Hindi · Intermediate

📚 Publications

• Comparison of Planning Target Volume using 4DCT in Lung Tumours of Three Different Lobes · 2023