Summary
Overview
Work History
Education
Skills
Certification
Languages
Timeline
Generic

Jaewon Jung

Santa Clara,CA

Summary

Detail-focused Data Analyst with a Bachelor's in Statistics and Data Science from UCLA, process validation and business needs analysis. Proven to drive strategic insights and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Market Research Extern

National Research Group
03.2024 - 04.2024
  • Duration: 2 months
  • Led secondary market research and competitive analysis to assess policy impacts on business strategies and market trends
  • Utilized diverse methodologies to extract actionable insights, offering strategic guidance to clients
  • Developed comprehensive profiles of policymakers and influencers, outlining roles, influence mechanisms, and past initiatives
  • Employed these profiles to inform strategic decisions, helping clients navigate regulatory landscapes and seize emerging opportunities

Consulting and Market Research Extern

HappySneeze
03.2024 - 04.2024
  • Duration: 2 months
  • Participated in hands-on projects to refine company's strategic direction, developing versatile consulting skills applicable across sectors
  • Contributed to initiatives shaping organizational strategies, acquiring valuable skills for diverse industries
  • Conducted in-depth market analyses on integrative women's health, using advanced secondary research methods to evaluate market dynamics, size, and emerging trends
  • Generated comprehensive competitive maps, empowering informed decision-making and efficient market capitalization

Project member

Kaggle Community Prediction Competition
09.2022 - 12.2022
  • Duration: 4 months
  • Analyzed and manipulated about 2.8 million accident records in US Countrywide Traffic Accident dataset (2016 - 2021) to classify severity of accident
  • Implemented advanced data cleaning, mining, and statistical models, achieving lowest classifier misclassification rate of 5% with cross-validation and bootstrap methods, resulting in enhanced predictive accuracy and decision-making capabilities

Project Member

American Statistical Association - ASA
04.2022 - 05.2022
  • Duration: 2 months
  • Cooperated with 7 team members and consultants to interpret and organize complex Game data using R and Python at 48-hour competition with teams of undergraduate statistics
  • Analyzed play time and consistency data to derive actionable insights on game player satisfaction; data visualization using Tableau and presented to professors, professionals, and participants, garnering positive feedback and sparking further industry interest

Project member

Kaggle Community Prediction Competition
01.2022 - 03.2022
  • Duration: 3 months
  • Analyzed and processed approximately 3000 tournament records from College Basketball game dataset spanning 2013 to 2021, aiming to forecast winning probabilities
  • Produced comprehensive reports containing graphical representations, tables, and insights to facilitate visual data analysis, employing advanced statistical techniques such as multiple regression, assessment of multicollinearity, and residual analysis of models

Import and Retail Section Manager

Commonwealth Korea
04.2015 - 06.2016
  • Duration: 1 year 3 months
  • Leveraged ERP systems and Excel for comprehensive business analysis, including sales trend analysis, future performance estimation, and import quantity determination
  • Successfully reconciled variances between actual and estimated sales revenue, leading to notable 60% reduction in aged inventory
  • Demonstrated cross-functional team leadership by collaborating with finance, national sales team, and logistics personnel, overseeing all import-related facets, including price negotiation, shipment approval, customs clearance, inventory management, and warehouse routing

Education

Bachelor of Science - Statistics and Data Science

University of California - Los Angeles (UCLA)
Los Angeles, CA
06.2023

Skills

  • Programming Languages - R, SQL, Python, Tableau, C
  • Analytical Skills
  • Business Analytics
  • Predictive Modeling
  • Large-scale Data Analysis
  • Trend Analysis / Forecasting
  • Market Research
  • Enterprise Resource Planning (ERP)
  • Cross-functional Coordination
  • Fast Learner

Certification

  • Python for Data Science, AI & Development - IBM
  • SQL for Data Science - University of California, Davis

Languages

Korean
Native or Bilingual

Timeline

Market Research Extern

National Research Group
03.2024 - 04.2024

Consulting and Market Research Extern

HappySneeze
03.2024 - 04.2024

Project member

Kaggle Community Prediction Competition
09.2022 - 12.2022

Project Member

American Statistical Association - ASA
04.2022 - 05.2022

Project member

Kaggle Community Prediction Competition
01.2022 - 03.2022

Import and Retail Section Manager

Commonwealth Korea
04.2015 - 06.2016

Bachelor of Science - Statistics and Data Science

University of California - Los Angeles (UCLA)
Jaewon Jung