Hello, it's Nicole
![Nicole Roberts](images/linkedin.png)
![Nicole Roberts](images/instagram.webp)
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📊 I’m a Data Scientist at Express.
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💬 Ask me anything, happy to connect. Reach me at [email protected] or via any of the social-media platforms.
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✨ I love to create, fashion too: Nicole Roberts
Name: Nicole Roberts
Type: User
Company: OptyX
Bio: Data Scientist + self-taught Flask Developer with a FinTech focus based in NYC. Primarily work in Python.
Location: New York, NY
📊 I’m a Data Scientist at Express.
💬 Ask me anything, happy to connect. Reach me at [email protected] or via any of the social-media platforms.
✨ I love to create, fashion too: Nicole Roberts
Streamlit application to assist in hiring and paying FinTech professionals via Ethereum.
Analyzes cryptocurrency data, specifically changes in prices over various time intervals for various cryptocurrencies, and then clusters each cryptocurrency accordingly.
Using a dataset of historical lending activity from a peer-to-peer lending services company, the included notebook in this repo uses various techniques to train and evaluate models with imbalanced classes to identify the creditworthiness of borrowers.
Analyzes arbitrage opportunities for cryptocurrencies by taking advantage of simultaneous price dislocations in different crypto markets.
Investigation of a two part hypothesis that (1) cryptocurrencies are increasingly becoming exposed to risk factors of the S&P 500, (2) cryptos are increasingly correlated with each other. Findings of Fama/French Factor regression analysis inform how to balance crypto against equities (growth, value) and how to 'crypto-diversify' within a portfolio.
Custom GitHub profile page.
A cloud-based field service management SaaS solution that streamlines internal business processes through both a mobile app and desktop dashboard. Utilizes Python, SQL, Flask, HTML, and Jinja2.
A financial planner for retirement that forecasts the performance of a retirement portfolio for a specified amount of time. It uses Monte Carlo simulations based off of historical data acquired with an Alpaca API call via the Alpaca SDK.
With over 200 million users, MercadoLibre is the most popular e-commerce site in Latin America. This notebook analyzes the company's financial and user time series data in order to predict if search traffic can translate into the ability to successfully trade the stock.
This application connects a customer in search of a loan with a number of suitable banks. Using CLI, the customer informs the app of their credit score, monthly debt-to-income ratio, loan-to-value ratio, and the size of their requested loan.
A buy long / sell short algorithmic trading strategy that is enhanced by two different machine learning models: Support Vector Machine and Logistic Regression.
Various multivariate, multistep LSTM models using SPX options data to forecast the CBOE VIX to improve future market volatility forecasts. Monte Carlo simulation and Facebook Prophet forecasts included for comparison.
This analysis explores housing market relationships in San Francisco from 2010 to 2016 using various data visualization tools, including aggregation, interactive visualizations, and geospatial analysis. The goal of this analysis is to find properties in the San Francisco market that are viable investment opportunities.
A binary classification deep neural network model that predicts whether applicants will be successful if funded by a venture capital firm.
This application offers clients an online investment solution for their retirement portfolios through the use of algorithms that choose from various investment styles and options. The goal is to determine the fund with the most investment potential based on key risk-management metrics: daily returns, standard deviations, Sharpe ratios, and betas.
Retirement-plan providers, who want to increase their client portfolio are increasingly turning to robo advisors to provide client investment portfolio recommendations for retirement. The code included in this repo is designed for a retirement provider to offer such advice via a robo advisor to existing and potential clients.
A Solidity smart contract that automates the process of hosting joint savings accounts.
Builds a financial database and web application by using SQL, Python, and the Voilà library for the purpose of analyzing the performance of a hypothetical fintech ETF.
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.