Summary
Overview
Work History
Education
Skills
Timeline
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Hongjun Kim

Hongjun Kim

Granada Hills,United States

Summary

Graduated from University of California, Santa Barbara with bachelors in Statistics and Data Science with 3.1 GPA. Practiced exceptional hard skills needed for Data Analytics and soft skill from experience especially leadership.

Overview

3
3
years of professional experience

Work History

Manager and Lead Barista/Cook

Belgium Waffle Haus
06.2020 - 09.2023
  • Hired in the cafe for over 3 years as manager and shift lead adjusting price over the years throughout various change in sales and supply.
  • Trained new workers, managed time shifts, inventory restock, paycheck and tip management on biweekly basis, and customer satisfaction.
  • Administered in Los Angeles city district 12 councilman meeting for John Lee and Deputy Sheriff for State Assembly District 40 runner event for Patrick Lee Gipson.

Education

Bachelor of Science (B.S.) - Applied Statistics and Data Science

University of California, Santa Barbara
Santa Barbara, CA
06.2025

Skills

  • Hard Skills: Programming Languages: C, Python, Java, R, SAS, SQL
  • Soft Skills: Business Acumen, Adaptability, Leadership, Effective Communication, Critical Thinking, Multitasking
  • Technical Skills and Tools: Data Analysis, Data Wrangling, Predictive modeling, Machine Learning, Regression Analysis, Time series Analysis, SQL querying, Data pipelines, Data Visualization, Data Cleaning, Exploratory Data Analysis, Statistical Analysis, Data Mining, Big Data
  • Statistical Knowledge: Probability, hypothesis testing, regression, ANOVA, time series, Bayesian methods
  • Programming and Tools: R and Python (pandas, NumPy, scikit-learn, tidyverse, ggplot2) SQL for querying and transforming data Excel/Google Sheets for quick analysis and reporting
  • Data Wrangling & Cleaning: Handling missing values, outliers, duplicates Reshaping, merging, and filtering data
  • Data Visualization: Creating clear and insightful plots Tools: matplotlib, seaborn, ggplot2, Tableau, Power BI
  • Machine Learning: Clustering, classification, regression, recommendation systemsUnderstanding model evaluation and overfitting
  • Database & Big Data: SQL joins, subqueries, indexing
    Familiarity with Spark, Hadoop, or cloud data warehouses (Google Console, Databricks)

Timeline

Manager and Lead Barista/Cook

Belgium Waffle Haus
06.2020 - 09.2023

Bachelor of Science (B.S.) - Applied Statistics and Data Science

University of California, Santa Barbara