Predicting Customer Churn
Why are customers canceling their subscriptions? Using consumer data to evaluate the cause of canceled subscriptions, a logistic regression classifier can be created to predict the churn probabilities of new customers.
Building a Logistic Regression Model to Identify Spam Job Posts
There are a lot of job listings these days that could be considered spam. 500 job applications were analyzed, and a machine learning model was deployed to predict if your current job application is a new opportunity, or just spam.
New York Gun Crime Analysis
Brief analysis on NYPD shooting data in R studio, outlining the most dangerous boroughs, time of day, and age groups. Part of University of Colorado Boulder MSDS program.
Online Retail Price Optimization Analysis
Many of the products sold had different pricing throughout the time our data was recorded, we can take advantage by finding the optimal price point for each product that led to the most revenue.
Relational Database
Creating a functional relational database for a home improvement company. Part of University of Colorado Boulder MSDS program.
Examining Credit Card Fraud using Python
Given a dataset from datacamp containing all credit card purchases on the west coast, we cleaned & analyzed the data to pinpoint fraudulent transactions and determine the most common trends to strengthen fraud detection parameters for the credit card company.
Solving Statistical Hypothesis Testing with Machine Learning
I wanted to create a machine learning model to solve statistical hypothesis tests, given a word problem. This model would have to perform several tasks, picking the correct type of test, setting up the correct hypothesis, extracting the correct parameters from the word problem, and finally (the easy part) calculating the test statistic and giving it's conclusion.

Data Analyst Certification SQL/Python
Using SQL and Python I analyzed restaurant data from Datacamp to help company lawyers gain key insights on food poisoning claims.
Certification awarded:
