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Melbourne Rental Market Dashboard is a web-based platform that helps international students search for affordable rental housing in Melbourne. Built with Flask, Leaflet, Plotly, Chart, D3, and Video JS libraries, the platform features various visualization tools and is available on GitHub.

Python 2.48% JavaScript 12.77% CSS 0.22% HTML 30.51% Jupyter Notebook 54.03%
dashboard data-visualization flask geojson javascript melbourne plotly python rental

melbourne_rental_market_dashbord's Introduction

Asal Valisoltani

Hello and welcome to my GitHub page! ๐Ÿ‘‹

My name is Asal, and I'm delighted to share my journey with you. After exploring various fields, I have found my true passion in the world of data. Over the past few years, I have been deeply immersed in this exciting field, expanding my knowledge by learning new tools and techniques such as Python, SQL, and Machine Learning. I was enrolled in Monash University's Data Analysis Bootcamp, where I was gaining hands-on experience and building projects that showcase my skills. I've started my career as a Fraud Analyst, and I cannot wait to see where this journey takes me. I'm excited to share my progress with you, and thank you for stopping by my page.

  • ๐Ÿ”ญ Iโ€™m currently working on some Machine learning projects, both unsupervised and supervised.
  • ๐ŸŒฑ Iโ€™m currently learning more about Machine Learning.
  • ๐Ÿ“ซ How to reach me: You can shoot me an email at [email protected].
  • ๐Ÿ˜„ Pronouns: Her/Hers.
  • โšก Fun fact: In addition to being a data analyst, I'm also an artist! I love to paint and draw in my free time, I've started painting since I was 10 year-old and I've even sold some of my artwork at international art shows. I find that my creativity and attention to detail as an artist also come in handy when working with data and analyzing complex problems. you can see my artworks here >> https://www.instagram.com/asalvalisoltani.art/?hl=en

๐Ÿš€ ย Some Tools I Have Used and Learned

Here are some of the tools and technologies that I have used and learned:

  • Python
  • R, RStudio, Radiant
  • Java Script
  • Tableau
  • SQL
  • PostgreSQL
  • MongoDB
  • HTML/CSS
  • Excel
  • Visual Basic

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