Erol Bickici

Software and Finance

➤Fullstack Development

Employment

Projects

  • 2022

    Interactive Museum Project - Merchant House

    A VR/AR web app designed to teach people about the historical Merchant House in New York City. This app was designed as an iSpy-like game for families to both learn and enjoy the museum from anywhere in the world! This project was apart of my Individual Studies Computer Science class at NYU for my Senior year.

    Technologies: HTML, LESS, JavaScript, p5.js, A-Frame

  • 2021

    Market Sentiment Calculator & Display

    With a team of 4 other developers, we managed to create an MVP that scrapped Twitter to suggest which publicly traded companies were gaining momentum or 'hype' on social media. Our goal was to take advantage of the rising trend of investors to turn to social media for general investment advice.

    Technologies: ReactJS, SCSS, NodeJS, Express, Chai, Mocha, Jenkins, MongoDB, Twitter API

  • 2021

    Discount Cash Flow Calculator

    Useful tool that scraps financial information from a wide variety of sources and displays the results with calculations to project future valuation.

    Technologies: ReactJS, SCSS, Python, BeautifulSoup, Google Cloud (Cloud Storage, Firebase Auth, and Cloud Functions)

  • 2021

    eCommerce Food Delivery Service for Rural Communities

    This project (eventually turning into a business) was an eCommerce Web App that was focused on bulk buying for densely packed communities that were far from large urban centers. With a lack of infrastructure to handle traditional eCommerce, our app focused on streamlining the process of shopping online for these communities.

    Technologies: ReactJS, Firebase, Google Cloud (Cloud Functions), NodeJS

  • 2021

    Tile-Based Game

    This project was the first purely fun project I worked on being a video game consisting of a story, combat, and exploration.

    Technologies: HTML, CSS, p5.js

  • 2018-2019

    Industry-Wide Synergetic Map

    This project took a specified country and specified the correlation amongst its industries using data from a Bloomberg Terminal. The idea here was to serve as a starting point for finding how closely related industries could possibily work on synergetic products and services together. Also was the predecessor to Coopsight.

    Technologies: Python, Bloomberg Terminal

Research

  • (2022)

    Quantifying NFT Communities

  • (2022)

    How REITs Contribute to Emerging Market Economic Development

  • (2021)

    Has the Chinese Government Set Themselves on a Path of an Inevitable Real Estate Crisis?

  • (2021)

    Remote Mania - A Cost & Reward Analysis of Software Companies Moving to Remote

(2022) Quantifying NFT Communities

  • NFTs
  • Collections
  • Ownership
  • Centralization
  • Valuations
  • Community

From my NYU Computer Science Capstone, I aimed to address the grand mania and speculation within the NFT space by examining the contribution and importance that NFT collection communities have on their underlying collection price. I would recommend reading the preface and abstract of this essay if you are interested to get my own perception of the current NFT landscape (spoiler alert - large potential in the future but far too much speculation today).

Abstract - As NFTs (non-fungible tokens) continue to explode in popularity, there is a rise in false, misleading, and/or scam-ridden collections with few tools to gauge the legitimacy of these collections and to value growing NFT projects. The NFT world is seemingly dominated by speculation and a mania to get in on this new trend. I argue that this compromises the greater potential that NFTs could provide in the long-term. My approach aims to examine what I believe to be the backbone of NFT collections, the community behind it, and to analyze its relationship to popular collections to justify valuations. My findings suggest that more expensive NFT collections have a more distributed ownership struc- ture based on their Gini coefficients, although their correlation is weaker than expected with a few standout outliers at the higher end. Additionally, there appears to be a certain Ethereum price range for NFT collections (between 0.05 to 0.07) that exhibits a sudden uptick in correlation compared to that of other price ranges, suggesting external price-influencing factors.

Software Skills

languages

  • HTML

  • CSS/SCSS/LESS

  • JavaScript/TypeScript

  • Python

  • Solidity

  • Java

  • SQL

libraries & frameworks

  • ReactJS

  • React Native

  • Angular

  • Bootstrap

  • Tailwind

  • p5.js

  • A-Frame

  • Chai/Mocha

  • NodeJS

  • Express

  • Flask

platforms & tools

  • Google Cloud

  • MongoDB

  • MySQL

  • Firebase

  • Kubernetes

  • Docker

  • Truffle

  • Hardhat

  • Hadoop/Spark/Hive

  • BigQuery

  • Google Analytics

Want to Reach Out?