Jay Sejun Song

Aspiring Data Analyst

Phone:

(814) 441-8801

Email:

jaysejunsong@gmail.com

Alternative Email:

yss0632@gmail.com

Address:

State College, PA, USA

Hello I am Jay (Sejun)!

I am an ambitious data analyst with a passion for molding and interpreting data to extract critical insights. I thrive on the thrill of dissecting diverse datasets and discovering complex and unique key insights. Having majored in Statistics at Pennsylvania State University, I apply my academic background in statistical analysis for more efficient data evaluations.

Growing up, I found joy and fulfillment in working with numbers and solving applied problems, which eventually steered me toward data analytics. My journey towards becoming a specialized analyst has been marked by extensive experience with R for data analysis, recognizing the necessity of visualization and utilizing Tableau to this end, and developing a rich knowledge base for managing databases and extracting data using SQL.

I view data as an avenue for innovation and strive to continually learn and evolve into an expert in this dynamic field. Dive into my portfolio to explore the trajectory of my development and passion for data analytics.

EDUCATION

2018-2023

Bachelor's Degree in Applied Statistics
Minors in Mathematics & Information science and Technology

The Pennsylvania State Universty

During my time at the Pennsylvania State University, I studied statistics and gained a solid foundation in data analysis based on statistical analysis. I also took courses in statistics, data analysis, and mathematics, which sparked my interest in the field.

2015-2018

High School Diploma

United Christian Academy

I graduated from the United Christian Academy with honors and was involved in several extracurricular activities such as the robotics team, varsity basketball, varsity baseball, and choir.

EXPERIENCE

May 2023-Present

BroadStreet

Community Data Analyst Intern

Analyzed and interpreted public data sources using Excel, R, and Tableau, and prepared comprehensive reports with detailed visualizations and key insights, enhancing my ability to communicate complex data in an understandable manner
Administered the archival verification of state demographic data using Excel, resulting in an up-to-date, comprehensive data set that improved overall research usability and data integrity
Collaborated with cross-functional teams to validate data completeness, pioneered the addition of unrepresented demographic categories, enhancing data inclusivity and accuracy and bolstering the precision of data-driven decision-making

March 2023-Present

Data Quality Analyst Intern

BroadStreet

Conducted data surveillance and entry tasks on abortion data with Excel, contributing to the standardization of reporting across multiple U.S. states and counties, utilizing Excel for efficient data management/analysis within cross-functional teams
Identified and rectified discrepancies in the collected abortion and ITOP data using Excel, bolstering overall data reliability by 25%, and improving the accuracy and usability of the centralized dataset for data-driven analysis
Developed a quality control scoring system using Excel for ITOP data entry, leading to a significant 20% reduction in data entry errors, refining the quality and integrity of the centralized dataset using Excel along with data validation

May 2023-August 2023

PSU Eberly College of Science-Summer Undergraduate Research Program (SURE)

Data Research Intern

Directed data-driven research on U.S. labor market trends, leveraging web scraping to extract data from Glassdoor and employing Excel, R, and Tableau for data analysis and visualization, producing a research report and poster showcased at a conference, providing valuable insights into unemployment and job satisfaction
Constructed and published an IRB-approved survey using Qualtrics to study job satisfaction and unemployment, enhancing the breadth and depth of the labor market data collection process
Engaged in specialized training programs and workshops, enhancing proficiency in research methodologies, article analysis, and presentation skills, resulting in effective troubleshooting and continual skill enhancement in data analysis

June 2020-December 2021

Ministry of National Defense of the Republic of Korea

Sergeant - Communication Operator &

Team Supervisor

Achieved a 30% increase in operational efficiency by managing different types of communication equipment and signal wires, identifying root causes of errors, and repairing system malfunctions in a timely manner.
Contributed to the success of tactical missions by enhancing inter-unit communication and training team members on 3 military tactic programs, receiving a Battalion Commander's Commendation with a 95% performance rating.