Greyson Willhite

I am a third year Data Science student at Loyola University Chicago. Through my journey at Loyola I have developed strengths and interests in many fields such as math, data analytics, statistical analysis, database programming, data mining, and statistics.

Through these interests I have developed strong programming skills in several languages. My most frequently used language being Python. Using libraries like pandas, matplotlib, numpy, Mlextend, sklearn, and seaborn I have been able to perform statistical analysis on diverse datasets, applying data wrangling techniques to extract meaningful insights.

Through this I also gained experience with loading, cleaning, and preprocessing large amounts of data. Assuring quality and correct direction of analysis. I have experience building data pipelines using encoders, transformers, imputers etc.

I am proficient in SQL, through my coursework I have experience initializing and querying databases using PostgreSQL, SQLalchemy, PYmongo. I led the creation of a relational database for a mock healthcare system using PostgreSQL. I Use R on a daily basis to perform statistical analysis using various regression algorithms.

I have exceptional skills with libraries such as tidyverse, dplyr, ggplot2, plot_ly and more. Through my statistics classes I have developed a deep understanding of how to analyze, visualise, and contextualize data especially within R. I am also well versed in areas involving data mining and machine learning techniques.

I have a deep understanding of high dimensional data and methods such as clustering, classification, k-means, apriori, anomaly detection, rule mining etc. I thoroughly enjoy using programming to explore real world problems.

My professional experience is minimal as I am still in college but I performed extensive statistical analysis using industry standard practices.

Currently Pursuing A Data Science Degree at Loyola University Chicago. (BS in Science)