Data Analyst
Resume:
C O N T A C T
**********@*****.***
Atlanta, GA
www.linkedin.com/in/tylerfdavis
E D U C A T I O N
KENNESAW STATE
UNIVERSITY
Kennesaw, GA
B.S. Computational and
Applied Mathematics
Minor: Applied Statistics and
Data Analysis
Relevant Coursework
Probability and Data
Analysis Computer
Applications of Statistics
Statistical Methods Applied
Experimental Design
Programing Principles I
A D D I T I O N A L
SKI L L S
Excel
SAS
R
Python
JMP Pro
SQL
Tableau
Power BI
Qlik
C A R E E R O B J E C T I V E
Adaptable recent college graduate with a Bachelor of Science (B.S.) in Computational and Applied Mathematics and a Minor in Applied Statistics and Data Analysis, with 10 months of work experience. Aiming to leverage academic experience and a proven knowledge of data collection, manipulation, and analysis to successfully fill the role at your company. Frequently praised as hard- working by my peers. I can be relied upon to help your company achieve its goals.
Due to the COVID-19 pandemic my position with Morrison Healthcare as a Data Analyst was eliminated.
P R O F E S S I O N A L E X P E R I E N C E
DATA ANALYST
Morrison Healthcare / Compass Group, Atlanta, GA / Oct 2019 – Jul 2020
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
Provide technical support for existing reports, dashboards, or other tools.
DATA ANALYST INTERN
Foodbuy, LLC / Compass Group, Alpharetta, GA / May 2019 – Aug 2019
Successfully interpret data received by customers in order to draw conclusions for further analysis.
Collect and analyze data from databases and data warehouses by utilizing Microsoft Access and SQL to creating queries. Providing customers with appropriate reports.
Tyler Davis
A c a d e m i c R e s e a r c h a n d P r o j e c t s Tree Height / Statistical Methods / April 2019
The Tree Height project was performed from April 16th to April 20th, 2019.
The project was performed by a team of two students, myself included. My role in the project was to collect data, test the quality of the data, and help run analysis.
Project Details:
o Collect data on white spruce trees. Collect height diameter in cm and height of the trees in meters.
o Establish a hypothesis on predicting the height of any given white spruce tree. o Clean the data set by checking the quality of the data. o Perform data analysis on the factors to determine if there is a relationship between them.
o Based on the analysis report any statistically significant findings. Patient Satisfaction / Applications of Statistics / February 2019
The Patient Satisfaction project was performed from February 21st to February 28th, 2019.
The project was performed by myself solely.
Project Details:
o Collect patient data that contains patient satisfaction, severity level of illness, and age of the patient.
o Perform tests to check the quality of the data collected. o Establish a clean data set to run analysis for finding correlations between the factors. o Develop a concise hypothesis and run linear regression testing on the data set. o Report findings within the data set.
Public Perceptions of Health Risks / Experimental Design / September – October 2018
The Public Perceptions of Health Risks research project was performed from September 10th to October 1st, 2018.
The project was led by the professor at Kennesaw State University. The team was built of three students, myself included. My role in the project was to design an analysis of the influences between factors within the collected data.
Project Details:
o Collect data of people infected with a certain disease from the previous year. o Create a median estimate and actual incidence rate estimate out of each 24 infected patients.
o Verify the quality of the data to ensure strong results. o Develop an experimental design to determine the effect of the different factors. o Report findings within data set to further understand the public’s perception compared to the result of the analysis.
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