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prathameshnium/README.md

Hi there, I'm Prathamesh Deshmukh

I am a Physics PhD student at the UGC-DAE Consortium for Scientific Research (Mumbai Centre), passionate about experimental physics and building robust solutions for scientific measurement and analysis.

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About Me

  • Research Focus: My research involves the study of multiferroic composites and other novel materials in condensed matter physics.
  • Core Skills: I specialize in creating custom programs for instrument control (using Python & PyVISA) and automating complex data analysis pipelines.
  • Currently Learning: I'm expanding my skills in COMSOL Multiphysics to better model and simulate physical systems.
  • Let's Connect: Feel free to ask me about scientific computing in Python, interfacing with lab equipment, or my research.
  • Contact: You can reach me via email at prathameshnium@duck.com.

My Scientific & Technical Toolkit

Here are some of the languages, libraries, and tools I use to build my experiments and analyze data:

python numpy pandas scipy matplotlib jupyter comsol git latex


My GitHub Stats & Activity

Prathamesh Deshmukh's GitHub Stats

Prathamesh Deshmukh's Top Languages

Prathamesh Deshmukh's GitHub Streak

Prathamesh Deshmukh's GitHub Trophies


Highlighted Projects

This section showcases repositories with data analysis scripts, instrument drivers, or simulation code.

Project Description Technologies Used
PICA: Python Instrument Control & Automation A suite of scripts using PyVISA to automate instruments including Keithley (2400, 2182A, 6221, 6517B), Lakeshore (340, 350), and Keysight (E4980A). This repository is currently private due to academic restrictions, but feel free to contact me for details. Python, PyVISA, PyMeasure, NumPy, Pandas
Physics-Simulation-Toolkit A collection of Python scripts for simulating and visualizing phenomena in condensed matter physics, including magnetic ordering (Ising model) and dielectric models. Python, Jupyter, NumPy, SciPy
Solid-State-Physics-Calculators Scripts for analyzing experimental solid-state data, including calculations for activation energy (Arrhenius) and charge transport parameters (Mott-VRH models). Python, Pandas, Matplotlib
Python-for-OriginPro A suite of scripts using the originpro library to automate plotting, data fitting, and report generation directly within OriginLab's software. Python, originpro, Pandas
Ketron An open-source knowledge base and archive of various code snippets, experimental scripts, and small personal projects developed during my research. Python, Jupyter, LaTeX, MATLAB
Scientific-Python-Snippets A curated collection of small, reusable Python scripts for common data handling, file manipulation, and automation tasks, often with simple GUI interfaces. Python, Tkinter, Pandas

Keywords & Expertise

Scientific Computing, Experimental Physics, Data Analysis, Python, PyVISA, Instrument Control, Materials Science, Multiferroics, Condensed Matter Physics, COMSOL Multiphysics, Data Visualization, Lab Automation, NumPy, Pandas, SciPy.


Thanks for visiting!

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  1. Ketron Ketron Public

    An open-source archive of completed projects, shared with the hope they will be useful to the programming community.

    Jupyter Notebook

  2. Python-for-OriginPro Python-for-OriginPro Public

    A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

    Python

  3. Scientific-Python-Snippets Scientific-Python-Snippets Public

    A curated collection of small, reusable Python scripts for common data handling, file manipulation, and automation tasks, often with simple GUI interfaces.

    Python

  4. Solid-State-Physics-Calculators Solid-State-Physics-Calculators Public

    A collection of Python scripts for analyzing experimental data from solid-state physics, including calculations for activation energy (Arrhenius model) and charge transport parameters (Mott-VRH mod…

    Python

  5. Physics-Simulation-Toolkit Physics-Simulation-Toolkit Public

    A collection of Python scripts and notebooks for simulating and visualizing phenomena in condensed matter physics, including magnetic ordering and dielectric models.

    Jupyter Notebook