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Hi there , I am Maor Aviad!


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A Data Analyst specielizing in SQL, Python and Power BI. Professional experience with the technologies listed in the toolbox below

I create tech content, mostly about marketing data, web development and Python. I also work on other topic such as data visualization and the e-commerce industry.


๐Ÿงฐ Toolbox

python logo mysql logo mongodb logo numpy logo opencv logo pandas logo javascript logo nodejs logo react logo tailwindcss logo woocommerce logo wordpress logo wordpress logo blender logo


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Maor Aviad's Projects

list-of-data-sources icon list-of-data-sources

This script creates a SQLite database and table, and inserts the data sources and URLs as rows in the table

mysql icon mysql

Docker Official Image packaging for MySQL Community Server

name-the-color-using-webcolors icon name-the-color-using-webcolors

This script is written in Python and uses the os and PIL libraries to analyze the colors in images within a specified directory. The script will print out the names of the closest matching colors in the CSS3 color names list.

nextbase-nextjs13-supabase-starter icon nextbase-nextjs13-supabase-starter

๐Ÿš€โšก๏ธ Free Boilerplate and Starter kit for Next.js 13+, Supabase, Tailwind CSS 3.2 and TypeScript. ๐Ÿš€ Next.js ๐Ÿ”ฅ Supabase ๐Ÿ’ป TypeScript ๐Ÿ’š ESLint ๐ŸŽจ Prettier ๐Ÿถ Husky ๐Ÿงน Lint-Staged ๐Ÿงช Jest ๐Ÿงช Testing Library ๐Ÿ•น๏ธ Playwright โœ๏ธ Commitizen ๐Ÿ’ฌ Commitlint ๐Ÿ’ป VSCode ๐ŸŒช๏ธ Vercel ๐ŸŽจ PostCSS ๐Ÿƒ Tailwind CSS โš›๏ธ React Query

nextron icon nextron

โšก Next.js + Electron โšก

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

powerbi-javascript icon powerbi-javascript

JavaScript library for embedding Power BI into your apps. Check out the docs website and wiki for more information.

product-description-complex-query icon product-description-complex-query

consolidates product descriptions distributed across three tables in a database, creating a comprehensive view of product details such as codes, quantities, unit types, pricing, and more

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