devinaa1604
A certified Data Analyst | R, Python, SQL, SAS, VBA, PowerBI, Tableau, Machine Learning and AWS
Dallas,TX
Pinned Repositories
API
This repository is for me to practice with APIs on Python
Automation_with_Python
This project aims to create a Python script for analyzing the financial records of a pseudo company by automating the process.
Credit_Risk_Analysis_Using_Classification
This project aims to predict credit risk using various ensemble machine learning techniques. I have also tried to handle imbalance by using various sampling methods.
Fradulent_Transactions-SQL
Used SQL to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions. Analyzed on Python and created visualizations.
Myers_Briggs_Personality_Predictor
The project aims to predict personality types using Natural Language Processing on the social media presence of more than 8600 individuals and implement various machine learning algorithms on a data set from Kaggle.
Portfolio_Selection-Pandas
This project aims to analyze various portfolios based on volatility, returns, risk, and Sharpe Ratio using Python and Pandas concepts.
Predicting_Housing_Prices
Our aim was to make a model of housing prices that mimic the infamous Boston Housing Data but on a macro level. We wanted to use Multiple Linear Regression in order to predict the housing prices and make an interactive dashboard that tells the top 25 cities in the US for home investors in the next 5 years.
San_Francisco_Rental_Analysis-PyViz
This project runs a rental analysis on the property in San Francisco and aims to provide customers with a broad range of portfolio options. I have used Python's PyViz library to create a dashboard that helps the customers determine if they want to invest in rental properties in San Francisco.
Subset_Selection
This aims to run a subset selection process on the data set using R
Time_Series_Analysis_on_Yen
This project aims to predict future yen prices using time-series models such as ARIMA as well as making out of sample and in sample predictions on Python
devinaa1604's Repositories
devinaa1604/Credit_Risk_Analysis_Using_Classification
This project aims to predict credit risk using various ensemble machine learning techniques. I have also tried to handle imbalance by using various sampling methods.
devinaa1604/Myers_Briggs_Personality_Predictor
The project aims to predict personality types using Natural Language Processing on the social media presence of more than 8600 individuals and implement various machine learning algorithms on a data set from Kaggle.
devinaa1604/Portfolio_Selection-Pandas
This project aims to analyze various portfolios based on volatility, returns, risk, and Sharpe Ratio using Python and Pandas concepts.
devinaa1604/Subset_Selection
This aims to run a subset selection process on the data set using R
devinaa1604/API
This repository is for me to practice with APIs on Python
devinaa1604/Automation_with_Python
This project aims to create a Python script for analyzing the financial records of a pseudo company by automating the process.
devinaa1604/Fradulent_Transactions-SQL
Used SQL to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions. Analyzed on Python and created visualizations.
devinaa1604/Predicting_Housing_Prices
Our aim was to make a model of housing prices that mimic the infamous Boston Housing Data but on a macro level. We wanted to use Multiple Linear Regression in order to predict the housing prices and make an interactive dashboard that tells the top 25 cities in the US for home investors in the next 5 years.
devinaa1604/San_Francisco_Rental_Analysis-PyViz
This project runs a rental analysis on the property in San Francisco and aims to provide customers with a broad range of portfolio options. I have used Python's PyViz library to create a dashboard that helps the customers determine if they want to invest in rental properties in San Francisco.
devinaa1604/Time_Series_Analysis_on_Yen
This project aims to predict future yen prices using time-series models such as ARIMA as well as making out of sample and in sample predictions on Python
devinaa1604/AWS_and_Unsupervised_Learning
Generated analysis of cryptocurrencies is available on the trading market and how they can be grouped using classification. To do this I used unsupervised learning and Amazon SageMaker by clustering cryptocurrencies and creating plots to present results.
devinaa1604/AWS_Cloud
This repository is for me to experiment with AWS Cloud.
devinaa1604/Classification
This repository is for me to experiment with various Classification Models using Python.
devinaa1604/Crypto_Prices_Using_NLP
I have applied natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum. I have used sentiment analysis and POS tagging for that.
devinaa1604/Deep-Learning
This repository is for me to experiment with Deep Learning on Python.
devinaa1604/Demonetization_Sentiment_Analysis
This project aims to understand the sentiment when a bit policy is introduced by the government. I have used Twitter data to do sentiment analysis using R.
devinaa1604/Financial_Planning-API
This project aims to assess personal finances, and also be able to forecast a reasonably good retirement plan based on cryptocurrencies, stocks, and bonds. It uses Alpaca API to extract the data and uses Python to run analysis and create visualizations.
devinaa1604/FinTech-Case-Study
devinaa1604/LSTM_Stock_Predictor-Deep_Learning
This project builds and evaluates deep learning models such as RNN using both the FNG values and simple closing prices to determine if the FNG indicator provides a better signal for cryptocurrencies than the normal closing price data.
devinaa1604/Multi-Blockchain_Wallet_in_Python
devinaa1604/Natural_Language_Processing
This repository is for me to practice with Natural Language Processing.
devinaa1604/Pandas
This repository is for me to practice with Pandas to use them in a financial environment.
devinaa1604/Python
This repository is for me to practice with Python.
devinaa1604/Python-Pandas
This repository is for me to practice with Python and Pandas.
devinaa1604/PyViz
This repository is for me to practice visualizations and Python Dashboards using PyViz Library.
devinaa1604/SQL
This repository is for me to practice SQL using PostGreSQL and connecting it with Pandas.
devinaa1604/Testnet_Blockchain
devinaa1604/Time-Series
This repository is for me to practice Time Series Forecasting.