nehanawar025,Noshin Nawar Neha,noshin_nnn,github

Hi there 👋 I am Noshin Nawar Neha 😄

I'm a computer engineer on a quest to dive deep into the world of data.

- 🌱 I’m currently learning data visualization tools and, more importantly, best practices from the larger data visualization community.

Always eager to connect, collaborate, and create data-driven innovations. Let's turn data into actionable insights!

Skills and Experience:

Projects I'm proud of! 😁

Finding Airbnb - MySQL - A comprehensive analysis of Airbnb listings using MySQL narrowed down the list from 13,759 to just 15 listings while reducing the budget by up to €500 from the initially set amount.
EDA of Car Dataset - MySQL - A comprehensive analysis of the car evaluation dataset in MySQL that focuses on identifying patterns and trends across various attributes to gain data-driven insights.
Netflix Content - Tableau Dashboard - A comprehensive analysis of Netflix's content library using Tableau and Python, focusing on genre trends, content types, global distribution, and growth patterns to gain data-driven insights.

GitHub Stats:

Noshin Nawar Neha's Projects

100_days_of_ds

This repo is containing all te resources that I have learned any concept from. Also it will be a day-wise list.

50projects50days

50+ mini web projects using HTML, CSS & JS

airbyte

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

all-contributors

✨ Recognize all contributors, not just the ones who push code ✨

awesome-github-profiles

List of GitHub profiles that have awesome customisation, that you can use for inspiration

dsa-bootcamp-java

This repository consists of the code samples, assignments, and notes for the Java Data Structures & Algorithms bootcamp of Community Classroom.

Through a focused analysis, this project narrows down 13,000+ Airbnb listings in Berlin to 15 apartments that perfectly align with specific criteria. These choices provide high ratings, ample availability, and a budget-friendly price, reduced by €500 from the initial budget, making them ideal for a family.