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nirmalparmarphd's Introduction

Data Scientist and Researcher

Nirmal Parmar

Dr. Nirmal Parmar, Ph.D.


  • 🔭 I’m currently working on the integration of Mathematical Gnostics (MG) with Machine Learning (ML)
  • 🌱 I’m currently learning and exploring possible ways/methods/applications to develop ML solutions based on a non-statistical method
  • 👯 I’m open to collaborate on data analysis, thermal engineering, and machine learning projects.
  • 📫 How to reach me: LinkedIn, Google Scholar, ResearchGate, Medium
  • ⚡ Fun fact: 'You are Awesome!'


Selected Projects - Public Access

Theme Projects
Renewable Energy swhML
MG with Machine Learning microDSC, MGMA
Critical Data Analysis LegendreRegression
Thermal Engineering PulseHeatPipe, SPEM, TCR

Python Library - Public Access

Library Description
PyPulseHeatPipe PyPulseHeatPipe is a Python Library for data analysis and for data plotting/visualization specifically for PHP experimental data.
PyCpep PyCpep library predicts the deviation in the isobaric heat capacity measurement (at 298~K) due to the improper amount of the sample or/and calibration standard in Tian-Calvet microDSC.
PyCpep library works on the well-trained artificial neural network (ANN) model coupled with mathematical gnostic.
PyCpil PyCpil is a library to calculate isobaric heat capacity of ionic liquids and ionanofluids (nanofluids).
PyThermalAnalysis PyThermalAnalysis is a python library to perform energy-exergy analysis

Tool Box

PythonMacOS bash Anaconda Fedora GitHub Jupyter Kaggle Latex Linux Matlab MongoDB NumPy Pandas ssh svn TensorFlow Vim VScode Scikit-learn Casandra Matplotlib Octave PySpark seaborn tableau Deltalake databricks MLflow


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