Data Analytics
After gathering and cleaning the data, it can be used to identify trends, patterns, and relationships and turn those results into actionable insights.
Machine Learning & AI
Can be used for predicting sales, detecting fraud, recommending a product to a customer, or to predict if a patient has cancer.
Business Intelligence
BI can help improve decision making, optimize internal processes, cut costs, and/or identify new business opportunities.
Work
Data science can be found in all parts of our daily lives. Here is a few of my most recent projects utilizing data. To see more of my projects click here.
Predicting Weight Lifting Exercises
Predicting Weight Lifting Exercises
This report will show how the data was cleaned, processed, and manipulated in order to predict the five different exercises. The project will mainly focus on ‘Classification and Regression Trees’, ‘Random Forest’, and ‘Stochastic Gradient Boosting’ using the caret package in R.Big data is growing and growing fast, we can't stop it, but we can understand it. Here's some interesting facts on the growth of data.
thousand search queries every second (on Google alone)
billion pieces of content shared on Facebook every month
hours of new video uploaded by Youtube users every second of every day
trillion gigabytes of data exist in the digital universe today