ellenicoleroberts
Data Scientist + self-taught Flask Developer with a Marketing focus based in NYC. Primarily work in Python.
American Century InvestmentsNew York, NY
Pinned Repositories
Blockchain_Talent_Connector
Streamlit application to assist in hiring and paying FinTech professionals via Ethereum.
Clustering_Cryptos_with_Unsupervised_Learning
Analyzes cryptocurrency data, specifically changes in prices over various time intervals for various cryptocurrencies, and then clusters each cryptocurrency accordingly.
Coursera-Projects
Crypto_SP500_Analysis
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.
Deep_Sea_Asset_Management_Random_Forest_Model
Machine learning model to help Deep Sea Asset Management better target valuable prospects through marketing.
Field_Services_Management_SQL_Web_App
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.
Machine_Learning_Trading_Bot
A buy long / sell short algorithmic trading strategy that is enhanced by two different machine learning models: Support Vector Machine and Logistic Regression.
Modeling_the_VIX_with_LSTM
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.
Proptech_with_Python
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.
Risk_Management_with_Deep_Learning
A binary classification deep neural network model that predicts whether applicants will be successful if funded by a venture capital firm.
ellenicoleroberts's Repositories
ellenicoleroberts/Modeling_the_VIX_with_LSTM
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.
ellenicoleroberts/Crypto_SP500_Analysis
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.
ellenicoleroberts/Proptech_with_Python
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.
ellenicoleroberts/Blockchain_Talent_Connector
Streamlit application to assist in hiring and paying FinTech professionals via Ethereum.
ellenicoleroberts/Clustering_Cryptos_with_Unsupervised_Learning
Analyzes cryptocurrency data, specifically changes in prices over various time intervals for various cryptocurrencies, and then clusters each cryptocurrency accordingly.
ellenicoleroberts/Coursera-Projects
ellenicoleroberts/Credit_Risk_Analysis_with_Logistic_Regrression
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.
ellenicoleroberts/Crypto_Arbitrage
Analyzes arbitrage opportunities for cryptocurrencies by taking advantage of simultaneous price dislocations in different crypto markets.
ellenicoleroberts/Deep_Sea_Asset_Management_Random_Forest_Model
Machine learning model to help Deep Sea Asset Management better target valuable prospects through marketing.
ellenicoleroberts/DSstructures
ellenicoleroberts/Field_Services_Management_SQL_Web_App
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.
ellenicoleroberts/Machine_Learning_Trading_Bot
A buy long / sell short algorithmic trading strategy that is enhanced by two different machine learning models: Support Vector Machine and Logistic Regression.
ellenicoleroberts/Risk_Management_with_Deep_Learning
A binary classification deep neural network model that predicts whether applicants will be successful if funded by a venture capital firm.
ellenicoleroberts/ellenicoleroberts
Custom GitHub profile page.
ellenicoleroberts/Financial_Planning_with_Monte_Carlo
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.
ellenicoleroberts/Forecasting_with_Facebook_Prophet
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.
ellenicoleroberts/Loan_Qualifier
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.
ellenicoleroberts/Risk_Return_Analysis
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.
ellenicoleroberts/Robo_Advisor_for_Retirement_Planning
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.
ellenicoleroberts/Smart_Contracts_for_Joint_Accounts
A Solidity smart contract that automates the process of hosting joint savings accounts.
ellenicoleroberts/SQL_ETF_Loan_Analyzer
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.