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followers: 18.0 following: 9.0 repos: 39.0 gists: 0.0

Name: Dr. Arun Kumar Pandey

Type: User

Company: Vision Analytica

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

Twitter: arunp77_

Location: Germany

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

💫 About Me:

Click here to see my portfolio 🔗

Few resources are as follows:

Please have a look on my open source python library at link.
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
For Data enginnering tools, please visit my repos at Link

Let's connect on linkedin: :

🔭 I’m a data enthusiast with a background in astrophysics.

🌱 I’m passionate about data analytics, data engineering, machine learning, and deep learning.

💬 Ask me about data analysis, machine learning, and ETL pipelines.

📫 You can reach me at [email protected].

🌐 Socials: I am also available on:

⚡ Fun fact: crazy about football.

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

Feel free to explore my repositories and projects, and don't hesitate to reach out for collaboration or discussions!

💻 Tech Stack:

Programming Languages:
DATABase & tools:
Data Engineering:
Version Control:
Web Development:
Bash and shell Scripting:
Visualization:
Documentation:

📊 GitHub Stats:

🔝 Top Contributed Repo

🏆 GitHub Trophies

💰 My Open Source Contributions

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

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

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

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

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

mathlib-package

Python package for mathematical operation (https://pypi.org/project/arunp77-mathlib/)

montecarlo-simulation

Application to finance

natural-language-processing-journey

NLP and AI

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