Ph.D. in Astrophysics (Cosmology)

2017

IIT-Gandhinagar, India

• Ph.D. thesis title: Origin and Dynamics of the Primordial Magnetic Field in a Parity-Violating Plasma
• Developed code using Mathematica for differential equations, statistical analysis, and data visualizations
• Focused on comprehending magnetogenesis in the early universe during phase transitions and inflation
• Investigated the origin of primordial gravitational waves within a magnetized plasma
• Extensively used Wolfram Mathematica software to solve complex coupled partial differential equations of magnetohydrodynamic equations

Master of Science (M.Sc.) in Physics

D.D.U. Gorakhpur University, Gorakhpur, India

Focused on electronics.

Bachelor of Science (B.Sc.) in Physics, Mathematics, Electronics

D.D.U. Gorakhpur University, Gorakhpur, India

Focused on electronics.

Data Consultant | Data Engineer

January 2023 - Present (Full-time)

Mainz, Rheinland-Pfalz, Germany

• Created and deployed a scalable API using FastAPI, Elasticsearch, and Docker for analyzing diverse job market data sources. Facilitated seamless data extraction, transformation, loading, and execution of predefined analytical tasks.
• Developed expertise in remote sensing through an extensive training program provided by EUMETSAT, gaining skills in data access and retrieval, fundamentals of remote sensing, and Python data analysis of multidimensional meteorological datasets.
• Developed and deployed a dynamic web application using Python Flask, showcasing proficiency in Flask fundamentals and template utilization.
• Engineered data analytics solutions for Spotify's global song dataset, ensuring secure data handling and achieving streamlined project management.
• Architected end-to-end ETL pipelines leveraging Docker, Jupyter Notebook, Apache NiFi, and Snowflake, facilitating real-time data flow to AWS S3.
• Built data warehouses using Snowflake and created data pipelines using Apache Airflow on AWS.
• Championed Dimension Modeling techniques, executed Linux system operations with precision, and conducted impactful risk analysis through Monte Carlo simulations.
• Managed an M&A project during a JP Morgan job simulation, identifying ideal targets, building a DCF model, and creating a client-facing document for auction support.
• Led data visualization projects for TATA Industries during job simulations, translating complex data into tailored visuals that aligned with business needs and effectively communicated insights to diverse audiences.
• Conducted extensive risk analysis using Monte Carlo simulations for market and portfolio risk management, quantifying potential losses under various scenarios.
• Published blogs on science, finance, data science, and analytics, showcasing expertise and thought leadership.

Visiting Scientist

June 2022 - July 2022 (Stipendium)

Max-Planck-Institut für Astrophysik, Garching bei München, Germany

• Led seamless project management and teamwork using Git for agile code control.
• Spearheaded groundbreaking Python-based research ventures, dissecting vast datasets.
• Developed Python algorithms to quantify magnetic field effects on CMB distortions, lensing, galaxy enumeration, dark-age 21cm power, and matter spectra.

Postdoctoral Research Scientist

July 2020 - December 2020 (Full-time)

Hangzhou Institute for Advanced Studies, Hangzhou, Zhejiang, China

• Studied the Effects of gravitational waves on electromagnetic fields.
• Explored gravitational wave generation mechanisms in hot dense neutrino plasmas and their potential explanation for the NANOGrav signal, including constraints on magnetic field strength, which results in one publication in a respected international journal.

D.S. Kothari Postdoctoral Research Scientist

June 2019 – June 2020, January 2021 - May 2022 (Full-time)

Department of Physics and Astrophysics, University of Delhi, India

• Designed models and formulated algorithms: Created Python code to dissect the global temperature and ionization history of the universe. Evaluated the impacts of exotic energy sources like dark matter annihilation or decay.
• Conducted detailed mathematical calculations and solved complex equations on gravitational collapse of hot gaseous plasma in magnetic fields using Python.

Postdoctoral Research Fellow

June 2017 – June 2019 (Full-time)

Physical Research Laboratory, Ahmedabad, India

• Innovative Model Building: Studied primordial field generation in the early universe, contributing to a deeper understanding of cosmic magnetism.
• Skilled in overseeing High-Performance Computing (HPC) systems for extensive computational work. Expertise in automating and optimizing data-driven operations in intricate networked environments.