arvish,Arvish Pandey,github

Hi there 👋

I'm Arvish.

I'm a student at the University of Cincinnati pursuing an accelerated engineering degree in Computer Science and MBA. Go Bearcats! 🐻

I am currently:

🔬 Preparing for the Microsoft Azure DP-100 Exam: Data Scientist Associate.
🛠 Helping run UC IEEE's hackathon, MakeUC
🤖 Gearing up for IBM Apprenticeship Program: AI Engineer.
📖 Academic Coach @TheLearningCommons.
⚡ Fun fact: Built in 🇮🇳, deployed in 🇺🇸

I keep a cyberspace resume about myself at arvish.github.io and post every picture I've ever clicked on @urstrulyarvish.

In this github, you'll find a few different types of projects: fun hacks I built for me and my friends to mess around with, projects I built to learn something I didn't know before, and some projects that I hope would help a lot more people.

📫 Please ask me about any of these! Always happy to chat — reach me: ✉️ Email.

Arvish Pandey's Projects

applied-data-science-capstone-project

This Capstone is the 10th (final) course in IBM Data Science Professional Certificate specialization, and it actually summarizes in the form of project all materials that have been learned during this specialization.

arvish.github.io

My Cyberspace Resume 👋

iq4_corp_apprenticeship

CyberThreat Analyst Apprenticeship with iQ4 Corp (May - July, 2022)

jupyter_notebook

Collection of all the Jupyter NoteBooks.

project_data_visualization_in_python

Project for IBM Data Visualization in Python for Data Science. Creating a Dash interactive dashboard using Python Pandas, NumPy, Matplotlib (Plotly), Folium, Seaborn. Loading Airline Performance/Delay Reports with over 10 Million Data Points over the years 2005-2020.

project_python_in_data_science

Project for IBM Implementation of Python for Data Science. Extracting Stock Data through Ticker and webscraping methods and plotting revenue comparison of Tesla and GameStop share prices over the years.

project_sql_in_data_science

Project for IBM Databases and SQL for Data Science. Loading data from the Chicago Crime Logs to the IBM db2, perform SQL queries to better understand the data and implement the skills learned to practice. Compiled all data in a Jupyter NoteBook on IBM Watson Studio.