resume

Here you can find my resume with all educational degrees, work experiences, and relevant skills. A pdf version can be downloaded on the icon at the top right!

Basics

Name Kenneth Hahn
Label Process Engineer
Email hahnkenneth@berkeley.edu
Phone (951) 207-2607
Summary A results-driven Chemical Engineer with four years of experience in manufacturing, specializing in process optimization and data-driven decision-making. Currently transitioning into the Data Science field, leveraging a strong analytical background and hands-on engineering experience to drive business decisions and create impactful solutions. Passionate about using data to solve complex problems and eager to contribute to a forward-thinking organization.

Education

  • 2024.01 - 2025.08

    Berkeley, CA

    M.I.D.S.
    University of California, Berkeley
    Data Science
    • Applied Machine Learning
    • Fundamentals of Data Engineering
    • Statistics for Data Science
    • Data Science Programming
    • Research Design and Applications for Data and Analysis
  • 2016.08 - 2020.05

    Berkeley, CA

    B.S.
    University of California, Berkeley
    Chemical Engineering (Major) and Mechanical Engineering (Minor)
    • Chemical Engineering Laboratory
    • Computational Modeling of Chemical Processes
    • Process Control and Dynamics
    • Aerodynamics
    • Properties of Materials
    • Transport and Separations Processes
    • Chemical Kinetics and Reactor Design
    • Solid State Mechanics: Statics and Dynamics

Work

  • 2022.02 - 2024.06

    Fremont, CA

    Battery Pack Process Engineer
    Tesla
    Optimized manufacturing process for the Model S, Model X, Cybertruck, and other undisclosed model battery packs, contributing to enhanced production efficiency, quality, and safety.
    • Created process for a new subassembly line via Postman API calls to parallelize workload and increase production of battery packs by 33%.
    • Decreased electrical resistances in battery pack to assist in safe operation of the vehicle, resulting in a statistical reduction of 57,430 defects per million to 98 defects per million.
    • Utilized A/B testing to determine supplier quality issues with fasteners, leading to a 20% yield percentage increase.
    • Improved leak test processes utilizing statistical process control, reducing the number of off-roaded vehicles and saving the company $800K/year.
    • Developed Tableau Dashboards to monitor critical equipment metrics for the new Cybertruck launch.
  • 2020.08 - 2022.02

    Sacramento, CA

    Hydrogenation Fatty Alcohol Manufacturing Engineer
    Procter and Gamble
    Improved hydrogenation reaction process to develop alcohol hydrocarbon products, minimized unplanned downtime, and ensured optimal reaction conversions.
    • Experimented and executed an increase to site throughput of Fatty Alcohol Product by 1%, resulting a site revenue gain of approximately $3M/year, without the use of capital spending.
    • Utilized process control strategies to tune a pressure control valve to allow higher pressures in the reactors. This led to a 0.2% increase in reaction completions and overall throughput.
    • Used problem solving tools to reduce water usage in the site, leading to a 100 GPM reduction in well water usage.
    • Saved the business $120K/year by optimizing flow rates of caustic through experimental tests.
    • Eliminated 10% of nuisance alarms through MATLAB, collecting occurrence data and determining root cause for each.

Skills

Programming Languages
Python
SQL
R
NoSQL
MATLAB
Visualization
Tableau
Matplotlib
Seaborn
Plotly
JMP
ggplot2
LaTeX
Data Engineering
mySQL
PostgresSQL
NoSQL
Neo4j
Statistics
Pandas
SciPy
NumPy
RStudio
Machine Learning
Scikit-learn
XGBoost
Tensorflow
PyTorch
Keras
Code Management
Git/Github
Jupyter Notebooks
Visual Studio

Languages

English
Native speaker
Korean
Conversational