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2024-cv - Dawood Nazam Ranjha

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Dawood Nazam Ranjha

Mohalla Christian Colony, Dhok Kalriyan Nilore, Tumair, Main-post


Office Islamabad Pakistan | +92 314 198 5961 |
dawoodnazamranjha@gmail.com\

Research Interest
My main areas of interest include theoretical physics, astrophysics, and QFT, with a
particular emphasis on the unification of quantum mechanics and general relativity. My
goal is to investigate topics like holographic principles, black hole physics, and quantum
gravity. Studying quantum black holes, and the consequences of the strong cosmic
censorship conjecture in de Sitter spacetimes are the topics that strongly interest me. I'm
also excited to use cutting-edge AI methods to better comprehend. My background in data
processing and high-energy particle physics, especially with the Compact Muon Solenoid
(CMS) project, has equipped me to further explore these areas and make new contributions
to the fundamental understanding of nature.

Education
➢ BS Applied Physics, Federal Urdu University of Arts, Science & Technology, 2018 –
2022
➢ FSC Pre-engineering, IMCB F-8/4 Islamabad, 2016 – 2018
➢ Matriculation, IMSB G-8/1 Islamabad, 2014 – 2016

Professional Experience
➢ Internship Student at National Center for Physics, June 2022 – September 2022
➢ Internship Student at OGDCL, September 2023 – September 2023
➢ Teaching Physics (Home Tutor), August 2020 – April 2022

Skills
➢ Python & MATLAB
➢ Microsoft Office (Word, Power Point, Excel)
➢ Team Collaboration

Certificates
➢ Internship Certificate, National Center for Physics, September 2022
➢ Internship Certificate, OGDCL, September 2023
➢ Using Basic Formulas and Functions in Microsoft Excel, Coursera Project Network,
December 2023
➢ Introduction to Python, 365 Data Science, November 2023
➢ Explore Einstein's theories of Relativity using Wolfram, Coursera Project Network,
December 2023
➢ Programming for Everybody (Getting Started with Python), Coursera Learner (University
of Michigan), December 2023
➢ Solving Nonlinear Equations with MATLAB, MathWorks (Training Services), May 2024
➢ MATLAB Onramp, MathWorks (Training Services), April 2024

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