Student

Noah Daege Raleigh, North Carolina

Data Analytics 317-***-****

*********@*****.***

Motivated North Carolina State University senior aiming to leverage data analysis and critical thinking skills with statistics degree to enhance performance and game planning. Strengths and Skills

Data Visualization: R, GGplot, Tableau

Programming: SAS, R, SQL

Microsoft Suite

Problem Solving

Data Analysis

Adaptable Learner

Customer Service

Writing and Communication

Critical Thinking

Team Leader

Education

North Carolina State University - B.S. in Statistics (Expected May 2025) August 2021 - May 2025

Relevant Courses: Statistical Programming, Statistical Computing and Data Management, Calculus I-III, Linear Algebra, Mathematical Statistics, Statistical Learning and Data Analytics Projects

Medical Error Analysis (R) - An analysis of a FDA Adverse Event Reporting Systems data set including the compiling of smaller sets of data into one large data set and the cleaning of that larger data set through unit conversions and deleting unnecessary variables and observations. Using classifications based modeling methods such as logistic regression and classification trees to analyze the data to find insights and relations between variables, and the visualization of these insights.lenov NBA 2003-2022 Games Analysis (SQL) - Analysis of a dataframe in SQL which contained data from every NBA game played from the 2003 - 2022 seasons. Used CTEs, Nested Queries, and other advanced querying techniques to query a table which showed the percentage change in total points scored per game from season to season, rolling totals of total points, assists, and rebounds from season to season in the time frame, and finding the winning percentage of teams who scored at least 100 points in a game.

Layoff Data Set Cleaning and Exploratory Analysis (SQL) - Cleaned a data set which looked at data for Layoffs by removing unnecessary observations such as duplicates or observations with critical data missing, updated observations with missing data where possible, and standardized data for ease of use. Did an exploratory analysis on the data which included creating queries to find the rolling total of total layoffs by month and finding the top 5 companies with the most total layoffs in a year. Activities and Volunteering

North Carolina State University Sports Analytics Club - 2021 to present Math Tutor - 2024-2025

Interests

Strategic game planning

Using history as a tool for planning

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