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Name: John Sung
Type: User
Bio: Banking executive with 15+ years of leadership experience. Technology-minded with skills in Python, Pandas, SQL, Machine Learning, Blockchain, and Solidity.
Location: New York, NY
Name: John Sung
Type: User
Bio: Banking executive with 15+ years of leadership experience. Technology-minded with skills in Python, Pandas, SQL, Machine Learning, Blockchain, and Solidity.
Location: New York, NY
Online application that allows our users to build a blockchain ledger system. While Python was used for the back-end code, Streamlit enhances the front-end user experience. This ledger allows the user to conduct financial transactions and validate the blockchain.
Evaluate arbitrage opportunities between two exchanges, Coinbase and Bitstamp. The following data used will be inside the Resouces folder called 'bitstamp.csv' and 'coinbase.csv'. The project will provde statistical summaries and visualizations in order to identify potential arbitrage profits.
Tool that allows investors to compare and contrast the power of dividend paying stocks and comparing the results of three options. This app will give you the option of taking the cash dividend as income, reinvesting the dividend in the same stock or reinvesting in cryptocurrency.
A financial database and web application by using SQL, Python, and the Voilà library to analyze the performance of a hypothetical fintech ETF.
A planner to determine if they have enough reserves for an emergency fund. A planner for retirement that forecasts the performance of their retirement portfolio in 30 years.
The FinTech Finder allow the user to identify and pay proffesionals for hours contracted using blockchain technology
This program was designed to automate the creation of a joint savings accounts with the use of Solidity. This smart contract will use ether management functions to implement a financial institution’s requirements for providing the features of the joint savings account with the ability to deposit and withdraw funds from the account.
Create a fungible token called kaseiCoin for a crowdsale using solidy code on Remix.
The loan analyzes loans identfies inexpensive loans to potentially invest in.
See qualifying loans from a list of lenders using a daily_rate_sheet.csv of loan criteria from various loan providers, answer a number of questions to evaluate the loan eligibility, and then return a list of qualifying loans.
Train and evaluate models with imbalanced classes. Use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers. You will be able to use a logistic regression model to compare two versions of the dataset, original and resampled.
Trading bot using AWS Lex and Lambda
Model that predicts whether applicants will be successful if funded by Alphabet Soup. More than 34,000 organizations that have received funding from Alphabet Soup over the years were evaluated.
Project3
In our MVP, we have created a user friendly dashboard using Steamlit to help users view stats, summary and overall predicitons using interchangeable machine learning models. As we continue to work on our application, we will look to include other sports, the ability to place a wager and add additional features like betting odds.
Find properties in the San Francisco market that are viable investment opportunities. It is a unique oportunity to review a seven year period of data to identify income streams for the potential investor.
Data preparation, analysis, and visualizations for key risk and return metrics to compare the S&P 500 to four other portfolios. You will calculate risk and return metrics, like the daily returns, standard deviation, sharpe ratio and beta. It will provide the ability to identify the most appropriate risk-and-return portfolio to invest in.
Using AWS Lex, RoboAdvisor was created and designed for clients searching for guidance towards their retirement.
Analyze MercadoLibre's financial and user data in clever ways to provide insight to help the company grow. You will be able to predict search traffic so you can translate into the ability to successfully trade the stock.
Machine learning model that groups cryptocurrencies to assemble investment portfolios that are based on the profitability of those cryptocurrencies. Evaluate and contrast the best value of KMeans, explained variance ratios, elbow curves and clusters.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.