NBA Data Analysis
Implemented analysis and data visualization concepts to display NBA player statistics on web application using Heroku and Python libraries
All Data Science Projects
These are all of the data science projects that were completed using the wide variety of data sets to showcase machine learning, predictive modeling, and data visualization skills
Cannabis Analysis
Automated Data Warehouse to store Cannabis Product Data and visualize product analysis using MySQL, Mode Analytics, Tableau and Python libraries
Uber Data Analysis
Implemented data visualization concepts to assist in understanding complex data and gain business insights using Tableau and R libraries (ggplot2, dplyr, and tidyr)
Detect Credit Card Fraud
Implemented machine learning algorithms (Logistic Regression, Decision Tree, Neural Networks, and Gradient Boosting) to detect credit card fraud using Python libraries (numpy, pandas, and scikit-learn)
Predicting Sales
Forecasted the monthly sales with Long Short-term Memory (LSTM) method using Python libraries (keras and scikit-learn)
Chatbot
Chatbot uses deep learning techniques (Natural Language Processing) to interact with customers via chat graphical user interface using Python libraries (keras, numpy, nltk, and tkinter)
Database Systems Project
Created a robust database system using SQL to provide an command line user interface for information storage and retrieval
Decision Tree in R
Implemented Decision Tree algorithm using GINI Index and Information Gain to predict outcomes in R
Beat the Bookie
Applied predictive modeling algorithms (Decision tree) in R to improve the odds to make a profit on small bet lines