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<p>Passionate data enthusiast with a strong technical background. Committed to using data-driven approaches for innovative problem-solving and decision-making.</p>
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<p>Passionate data enthusiast.</p>
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@@ -141,7 +141,7 @@ <h3>Data Consultant & Data Engineer</h3>
<li><strong>Ph.D. thesis title:</strong><ahref="https://inspirehep.net/literature/1643788" target="_blank">Origin and Dynamics of the Primordial Magnetic Field in a Parity-Violating Plasma</a></li>
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<li>Developed code using Mathematica for differential equations, statistical analysis, and data visualizations</li>
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<!--<li>Developed code using Mathematica for differential equations, statistical analysis, and data visualizations</li> -->
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<li>Focused on comprehending magnetogenesis in the early universe during phase transitions and inflation</li>
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<li>Investigated the origin of primordial gravitational waves within a magnetized plasma</li>
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<li>Extensively used <ahref="https://www.wolfram.com/mathematica/" target="_blank">Wolfram Mathematica software</a> to solve complex coupled partial differential equations of magnetohydrodynamic equations</li>
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<!--<li>Extensively used <a href="https://www.wolfram.com/mathematica/" target="_blank">Wolfram Mathematica software</a> to solve complex coupled partial differential equations of magnetohydrodynamic equations</li> -->
<li>Working as Integration Validation and Verification (IV&V) Engineer at EUMETSAT, Darmstadt.</li>
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<li>Involved with the team working on EUMETSAT Polar System – Second Generation (EPS-SG) and other interesting projects.</li>
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<li>Main tasks are Data processing from L0 to L1 and L2 in the TGPS systems and monitoring data flow between various interfaces for anomalies. </li>
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<li>Test procedure and executions for the various processors. Managed project complete test cycle on jira and configured it to the Xray test plugins for better test management.</li>
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<li>Proper documentations of various issues and procedures are one of the other tasks.</li>
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</ul>
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@@ -331,15 +334,11 @@ <h4>Data Consultant | Data Engineer </h4>
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<h5>January 2023 - September 2024 (Full-time)</h5>
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<p><em>Mainz, Rheinland-Pfalz, Germany</em></p>
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<ul>
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<li>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.</li>
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<li>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.</li>
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<li>Created and deployed a scalable API using FastAPI, Elasticsearch, and Docker for analyzing diverse job market data sources. Complete pipeline helps in seamless data extraction, transformation, loading, and execution of predefined analytical tasks.</li>
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<li>Developed and deployed a dynamic web application using Python Flask, showcasing proficiency in Flask fundamentals and template utilization.</li>
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<li>Engineered data analytics solutions for Spotify's global song dataset, ensuring secure data handling and achieving streamlined project management.</li>
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<li>Architected end-to-end ETL pipelines leveraging Docker, Jupyter Notebook, Apache NiFi, and Snowflake, facilitating real-time data flow to AWS S3.</li>
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<li>Built data warehouses using Snowflake and created data pipelines using Apache Airflow on AWS.</li>
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<li>Championed Dimension Modeling techniques, executed Linux system operations with precision, and conducted impactful risk analysis through Monte Carlo simulations.</li>
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<li>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.</li>
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<li>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.</li>
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<li>Conducted extensive risk analysis using Monte Carlo simulations for market and portfolio risk management, quantifying potential losses under various scenarios.</li>
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<li>Published blogs on science, finance, data science, and analytics, showcasing expertise and thought leadership.</li>
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</ul>
@@ -349,11 +348,9 @@ <h5>January 2023 - September 2024 (Full-time)</h5>
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<h4>Visiting Scientist</h4>
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<h5>June 2022 - July 2022 (Stipendium)</h5>
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<p><em><ahref="https://www.mpa-garching.mpg.de/de" target="_blank">Max-Planck-Institut für Astrophysik, Garching bei München, Germany</a></em></p>
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<ul>
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<li>Led seamless project management and teamwork using Git for agile code control.</li>
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<li>Spearheaded groundbreaking Python-based research ventures, dissecting vast datasets.</li>
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<li>Developed Python algorithms to quantify magnetic field effects on CMB distortions, lensing, galaxy enumeration, dark-age 21cm power, and matter spectra.</li>
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</ul>
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</ul> -->
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<divclass="resume-item">
@@ -405,12 +402,7 @@ <h5>June 2017 – June 2019 (Full-time)</h5>
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<divclass="section-title">
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<h2>Portfolio</h2>
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<p>Welcome to my portfolio, a hub of knowledge and expertise spanning various domains in data science,
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programming, and scientific research. In this repository, I have curated a diverse collection of resources
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designed to help learners, enthusiasts, and fellow professionals embark on a journey of continuous learning
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and skill development. Explore the following sections to access a wealth of materials, from Python programming
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and machine learning to real-world data analysis projects and best practices in version control. Additionally,
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you'll find valuable courses related to EUMETSAT, scientific code for gravitational collapse simulations, and
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documentation resources in LaTeX, MS Word, and more. Whether you're a budding data scientist, a seasoned developer,
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programming, and scientific research. Whether you're a budding data scientist, a seasoned developer,
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or a researcher seeking valuable insights, these resources are here to empower your growth and expand your horizons
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(related codes are Available at my <ahref="https://github.com/arunp77" target="_blank">Github repository</a>).</p>
<li>Gravitational waves in neutrino plasma and NANOGrav signal, Arun Kumar Pandey <ahref="https://arxiv.org/abs/2011.05821">arXiv:2011.05821 [astro-ph.CO] (2020)</a> [Eur.Phys.J.C 81 (2021) 5, 399]</li>
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<li>Generating Seed magnetic field à la Chiral Biermann battery, Arun Kumar Pandey, Sampurn Anand (Phys. Rev. D. 104, 063508 (2021))</li>
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<li>Thermal SZ effect in a magnetized IGM dominated by interacting DM decay/annihilation during dark ages, Arun Kumar Pandey, Sunil Malik (2022) <ahref="https://arxiv.org/abs/2204.08088">[arXiv:2204.08088]</a></li>
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<li>Spherical collpase model of a magnetized cloud, Arun Kumar Pandey (under preparation), 2024</li>
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