CV

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Education

MSc in PhysicsFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany   (Oct 2021 – Feb 2025)
Specialization: Astrophysics and Astroparticle Physics  |  Final Grade: 1.44 de ≈ 92%  (“sehr gut”)

BSc in PhysicsSavitribai Phule Pune University (SPPU), Modern College, Pune, India   (Jul 2017 – Nov 2020)
Minors: Mathematics and Statistics  |  Principal Total: 83.83% ≈ 1.80 de  (“First Class with Distinction”)

Senior Secondary (XI–XII) — Central Hindu Boys School, Varanasi, India   (2015–2017)
CBSE All India Senior School Certificate Examination (2017)  |  Total: 82.60%

Schooling (KG–X) — New Angels Senior Secondary School, Pratapgarh, India   (2003–2015)
CBSE Secondary School Examination (2015)  |  CGPA: 9.2/10

Work Experience

Lab Tutor & Research Assistant — Dr. Karl Remeis-Sternwarte Bamberg (ECAP, FAU), Germany   (Apr 2023 – Oct 2024)

Tools: Python, Bash, XMM-SAS, XSPEC, PyXspec, SNRpy

R&D Intern — Modern Communication Technology (MCom), Pune, India   (Sep 2019 – Mar 2020)

Tools: IoT, Remote Sensing, Embedded Systems, Industrial Automation

Selected Projects

X-ray Evolution of Supernova Remnants in the Large Magellanic Cloud — MSc Thesis   (Sep 2023 – Nov 2024)
Imaging and spectral analysis of the soft diffuse X-ray emission of LMC SNR J0500-6512 (now confirmed): derived plasma properties, estimated evolutionary epochs, and classified it as a mixed-morphology, middle-aged, Type Ia remnant. Compiled comprehensive data on the observed LMC SNR population and applied probabilistic methods (maximum-likelihood fits, kernel density estimates) to study size distributions, explosion types, age–size relations, and SN energetics vs. ISM environment.
Tools: Python, XMM-SAS, XSPEC, PyXspec, Statistical Analysis

Metropolis Algorithm for a 2D Ising Model — MSc Advanced Computational Project   (Oct 2022 – Feb 2023)
Implemented the Metropolis algorithm of the Markov chain Monte Carlo (MCMC) method with importance sampling and single-flip dynamics in Python to numerically simulate a 2D Ising model and visualize second-order phase transitions; estimated the ferromagnetic critical temperature for spontaneous magnetization.
Tools: Python, Monte Carlo Simulation, Statistical Physics

Visualizing Relativity: A Computational Approach — BSc Final Project   (Aug 2019 – Jan 2020)
Surveyed visualization methods for special relativity with an emphasis on computerized simulations and implemented a virtual-camera model in a Unity game to demonstrate relativistic effects.
Tools: Unity, C#, Computational Physics, Scientific Visualization

Publications

Academic Reports & Coursework

Interests & Skills

Specializations (Observational > Numerical > Theoretical): Astrophysics & Astroparticle Physics — interstellar medium, dust, supernovae & remnants, cosmic rays; X-ray data analysis, MHD numerical simulations, statistical analysis; multimessenger & high-energy astrophysics
General: Data Science, Machine Learning, Generative Artificial Intelligence
Other: Academic, technical, and creative writing; data analytics & visualization; research & development

CategoryDetails
ProgrammingPython (good), C & C++ (basic), R, isis, Xspec, XMM-SAS
LibrariesNumPy, pandas, matplotlib, SciPy, Astropy, scikit-learn, JAX, PyXspec
ApplicationsLaTeX (expert), OriginLab, Microsoft Office, Git, Linux, gnuplot, HEASARC (ftools, fv, ds9)
LanguagesGerman (CEFR B1), English (C1–C2), Hindi (native)
SportsChess, Badminton, Hiking

Workshops & Events

Selected MSc Courses

Advanced modules: Particle and Astroparticle Physics (experimental); Quantum Field Theory in Condensed Matter (theoretical)
Electives: Introduction to Astroparticle Physics; Galaxies & Cosmology; X-ray Astronomy II; Extreme Astrophysics; Interstellar Medium; Particle Physics & Astrophysics seminar
Language: German as a Foreign Language B1.1

Awards & Certificates

Talks & Presentations

Teaching