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Researcher and Data Scientist

Nirmal Parmar

Dr. Nirmal Parmar, Ph.D.

  • šŸ”­ Iā€™m currently working on the integration of Mathematical Gnostics (MG) with Machine Learning (ML)
  • šŸŒ± Iā€™m currently learning and exploring possible ways/methods/applications to develope ML solutions based on a non-statistical method
  • šŸ‘Æ Iā€™m open to collaborate on data analysis, thermal engineering, and machine learning projects.
  • šŸ“« How to reach me: Linkedin, Google Scholar, ResearchGate, Medium
  • āš” Fun fact: 'You are Awesome!'

Selected Work - Public Access

Theme Projects
Python Library PyCpep, PyCpil, PyPulseHeatPipe
MG with Machine Learning microDSC, MGMA
Critical Data Analysis LegendreRegression
Thermal Engineering PulseHeatPipe, SPEM, TCR

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

Nirmal Parmar's Projects

microdsc_error_prediction icon microdsc_error_prediction

ML model to predict an error in the isobaric heat capacity measurement by microDSC that may arise due to an inappropriate amount of the sample or/and calibration standard material

microdsc_error_prediction_ann icon microdsc_error_prediction_ann

Prediction in heat capacity measurement deviation due to improper amount of the sample or/and calibration standard in Tian-Calvet microDSC

pulseheatpipe icon pulseheatpipe

Pulsating Heat Pipe (PHP): Advanced data analysis and Machine Learning

pycpep icon pycpep

pip package to predict the deviation in the heat capacity measurement for microDSC Tian-Calvet

pycpil icon pycpil

PyCpil is a pkg to calculate isobaric heat capacity of ionic liquids and ionanofluids (nanofluids).

pypulseheatpipe icon pypulseheatpipe

The data analysis Python package for the Pulsating Heat Pipe experimental data

scrubber icon scrubber

A python library to clean data and to perform feature engineering easely

spem_prediction icon spem_prediction

Salt Production Enhancement Method (SPEM): Deep Learning (ANN) data driven solution to predict the salt production

tcr_deeplearning icon tcr_deeplearning

Artificial Neural Network (ANN) to predict the Thermal Contact Resistance (TCR)

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