Customer Churn Classification

Created a classification algorithm that will help classify whether or not a customer churned. Then the company can test this against incoming data for future customers to predict which customers will churn and assign them an account manager.

Classified dogs food into different categories using pyspark.

One key fact, the forensic engineer knows that the hackers trade off attacks. Meaning they should each have roughly the same amount of attacks. For example if there were 100 total attacks, then in a 2 hacker situation each should have about 50 hacks, in a three hacker situation each would have about 33 hacks. The engineer believes this is the key element to solving this, but doesn't know how to distinguish this unlabeled data into groups of hackers.

Treate a regression model that will help predict how many crew members will be needed for future ships.

Developed a big-data pipeline to stream data from tweets and batch into smaller datatables.

Analyzed Walmart real-time stock market.

Analyzed Walmart real-time stock market to discover patterns of Walmart stock market by months and years.

In spatial analysis, the Huff model is a widely used tool for predicting the probability of a consumer visiting a site, as a function of the distance of the site, its attractiveness, and the relative attractiveness of alternatives. It was formulated by David Huff in 1963. t is used in marketing, economics, retail research and urban planning, and is implemented in several commercially available GIS systems.

Using Deep Learning Models to resolve bussiness problems.

Predicted estate by Linear Regression.