Paul Kim

Hackensack

Summary

Experienced data-driven analyst with a successful history of managing large datasets and automating processes in a fast-paced corporate environment. Proficient in SQL, Tableau, data modeling, and project management. Collaborative and skilled in working with cross-functional teams and stakeholders to drive operational efficiency, improve KPIs, and implement automation. Currently seeking a new opportunity to enhance my skillset and contribute significantly to a company's success.

Overview

years of professional experience

Work History

Data Analyst

Samsung Electronics

05.2023 - Current

Analyzed ticket management processes and identified inefficiencies in ticket assignment, workload distribution, and irrelevant ticket submissions.
Collaborated with team manager to develop and implement automations to filter irrelevant tickets and streamline assignment processes.
Created a new user-facing webpage that prompted ticket submitters to provide relevant details, ensuring faster and accurate ticket assignment and categorization.
Set up automated workflows to categorize incoming tickets and assign them to the appropriate engineer, reducing manual input and improving operational efficiency.
Designed and automated weekly KPI and ticket data reports, enabling real-time tracking and accountability for ticket handling.
Result: Achieved a 15% reduction in ticket volume and met the goal of under 5 days turnaround time (TAT) for ticket resolution.
Led the migration of Salesforce data into a homegrown customer service platform for the B2B mobile division, overseeing the transfer of customer, agent, and ticket data.
Coordinated with multiple stakeholders to ensure critical ticket details were accurately migrated and mapped into the new system.
Identified points of improvement in the existing platform and worked with the team to integrate new services for call and email channels, enhancing customer service capabilities.
Played a key role in ensuring the smooth transition, reducing potential disruptions and ensuring data integrity throughout the process.

Summer Intern

IN2U HR

06.2022 - 09.2022

Managed data across candidate screening platforms, optimizing workflows and improving data tracking.
Conducted a data mining project using python and selenium to automate data extraction and analysis.
Webscraped salary data across multiple career fields, compiling insights for compensation benchmarks.
Created an automated report and guide for current salary trends across career fields in different locations across the country.
Worked closely with HR teams to analyze data trends and inform talent acquisition strategies.

Education

Bachelor of Science - Computer Engineering

Rutgers University

New Brunswick, NJ

05-2023

Skills

Gap analysis
Data filtering
Visual data representation
Defect tracking
Database programming and SQL
Data validation

SAP netweaver BW
Project management
Data analysis
MS Excel
Tableau
Python programming

Languages

English

Native or Bilingual

Korean