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followers: 13.0 following: 15.0 repos: 38.0 gists: 0.0

Name: Dr. Arun Kumar Pandey

Type: User

Bio: :mortar_board: Ph.D. (Astrophysics) :globe_with_meridians: Indian

Twitter: arunp77_

Location: Germany

Blog: https://arunp77.github.io/

💫 About Me:

Few resources are as follows:

Application of Monte-Carlo simulation to finance.
Please visit My blog to explore posts on Data science, Data engineering, and others.
Please visit my Academic website

Click here to see my portfolio:

📊 As a data enthusiast, I have always been fascinated by the power of data to reveal hidden insights and drive impactful decisions. With a passion for problem-solving and a strong technical background, I am dedicated to leveraging data-driven approaches to tackle complex challenges and drive innovation. Whether it's building predictive models, designing experiments, or visualizing data, I am always eager to explore new techniques and tools to improve my skills and deepen my understanding of the field. Ultimately, my goal is to use my expertise in data science to make a positive impact on society and help organizations make more informed and effective decisions.

🔎 A great learner.

📨 Contact me: [email protected].

⚡ Fun fact: crazy about football.

📍 Address: Observable Universe/Virgo Supercluster/Milky Way Galaxy/Solar System/Earth/Europe/Germany

🌐 Socials:

📚 Blog post

💻 Tech Stack:

Programming Languages:
Visualization:
DATABase & tools:
Big Data:
Technology Stack:
Web Development:
Bash and shell Scripting:
Documentation:
Software and tools:

📊 GitHub Stats:

🔝 Top Contributed Repo

🏆 GitHub Trophies

💰 Support My Open Source Contributions

If you find my open-source project helpful and would like to support its development, you can contribute by buying me a coffee. Your support will go a long way in helping me maintain and enhance my projects.

Founding member of Vision Analytica.

Dr. Arun Kumar Pandey's Projects

40-algorithms-every-programmer-should-know

40 Algorithms Every Programmer Should Know, published by Packt

arunp77

Config files for my GitHub profile.

arunp77.github.io

This repo is for my portfolio

astro-simulations

Astronomy Simulations and Animations

astrosim-tutorial

Jupyter Notebook tutorials on how to run astrophysical simulations

bash-scripting

The shell script programming (aka shell scripting)

bharatcart

A portal for the system design of the e-commerce business

cmbanalysis_summerschool

data-analysis-projects

This repository contains some of the selected data-science projects.

data-engineering-tools

This repo is for understanding various tools used in Data engineering.

database-datapipeline-etl

SQL, Databases, warehouses, Data lake, cloud storage, MYSQL, Data Pipeline

eda-series-terrorism

Exploratory Data Analysis, or EDA, is essentially a type of storytelling for statisticians. It allows us to uncover patterns and insights, often with visual methods, within data. EDA is often the first step of the data modelling process

eumetset-courses

This is for the EUMETSET courses to learn data provided on Atmospheric physics. In this repo, I will be providing the Jupyer notebooks related to the project that I am currently working on.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

github_actions

gravitational-collapse

Gravitational collapse

hello-world

html-css

A format for the webpage

job-market-project

InsightfulRecruit: Unveiling the Job Market Landscape through Data Engineering

kafka_spark_structured_streaming

Get data from API, run a scheduled script with Airflow, send data to Kafka and consume with Spark, then write to Cassandra

latex-and-documentation

Here I will be giving a detail overview of latex

learning-git

This contains the step by step learning GIT

lenstronomy_extensions

Extension modules to the lenstronomy software package

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine-learning

Fundamentals & projects

machine-learning-fork

montecarlo-simulation

Application to finance

parameter_estimation_by_minimising_chi_square

This code cover most basic way to estimate best fit parameters for a given dataset and model by chi-square minimisation. This analysis based on Hubble dataset with Flat LCDM model with two parameters.

python-for-data-engineering

This repo contains all the code used in the Python for Data Engineering Course

python-programming

Python Tutorial

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