Project Management Research Assistant

Jooyoung Lim

Champaign, IL • 217-***-**** • ***.********@*****.*** • linkedin.com/in/jooyoung-lim

EDUCATION

University of Illinois, Urbana-Champaign Aug 2022 - May 2024 M.S. in Industrial Engineering; Concentration: Advanced Analytics Dongguk Univeristy, Seoul, South Korea Mar 2016 - Feb 2022 B.S. in Industrial & Systems Engineering; 2nd Major: B.S. in Data Science Software Cum Laude SKILLS

Optimization Simulation Project Management DataPreprocessing

MachineLearning DataVisualization Database Scheduling Computer Skills: Python, R, Java, MATLAB, C++, Latex, VBA, SQL, Flask, Django Certificates: TensorFlow Developer Certificate, Big-Data Analysis Engineer, Six-Sigma Leader(Green Belt) FEATURED EXPERIENCE

Data Optimization Laboratory Aug 2023 – Apr 2024

Graduate Research Assistant, Champaign, IL

• Developed and implemented distributed algorithms for resource allocation optimization, leveraging Python-based optimization modeling tools (PuLP, CVXPY) to significantly enhance computational efficiency.

• Collaborated on optimizing energy market simulations using reinforcement learning (RL) to develop efficient algorithms that determine optimal policies in stochastic environments and provably converge to Nash Equilibrium (NE).

• Employed project management tools(Gantt Chart, MS Office) to enhance task organization and project tracking for improved team efficiency.

Segi Tech Nov 2021 – May 2022

Industrial Engineer Intern, Hwaseong, South Korea

• Utilized AutoCAD for semiconductor parts modeling and verified with real parts inspection.

• Cooperated with the industrial engineering team by using a Warehouse Management System(WMS) to optimize automation systems, organize parts in the warehouse, and track goods.

• Streamlined communication of analytical insights to senior managers through comprehensive weekly deliverables and facili- tated technical documentation for client and internal use. Machine-Learning-based Automated Production Systems(MAPS) Laboratory Nov 2020 – May 2022 Undergraduate Research Assistant, Seoul, South Korea

• Developed a decision-tree algorithms software package (including ID3, C4.5, CART, CHAID, XGBoost) for classification models with user customization(choosing tree depth, algorithm) on GitHub.

• Constructed scheduling models with semiconductor data to classify whether the process could meet the due date and applied to SHAP(SHapley Additive exPlanations) for results’ interpretability.

• Cooperated in feature extraction with genetic programming for fault detection(root cause identification) in manufacturing with interpretable machine learning.

PROJECT EXPERIENCE

Combined Heat and Power(CHP) module under Uncertainty Feb 2024 – May 2024

• Formulated a mathematical model for a CHP-based microgrid with empirical data for two-stage stochastic optimization to achieve a 22.2% decrease in installation and operation costs.

• Facilitated simulation modeling for cost minimization by using a Monte Carlo method based on the empirical distribution of each random event under uncertainty constraints in Python. NLP Analysis, Topic Prediction on Social Media Sep 2023 – Dec 2023

• Improved data quality and retrieval speed by 15% through data dictionaries and web scraping.

• Predicted future topics with Topic Modeling, reducing questions by 40% through proactive student requirement anticipation and collaboration with the student council.

• Presented analytic results in an understandable way to the student council, facilitating informed decision-making. Image Detection, Dog Bite Prevention through Motion Capture Nov 2021 – May 2022

• Developed a real-time image detection model using YOLOv5 to determine whether a dog is on a leash .

• Processed the image data by labelling and applying data augmentation to avoid overfitting.

• Won a Gold medal from the industrial engineering department of the University. Interpretable Artificial Intelligence, Office workers Posture Detection Mar 2021 – Nov 2021

• Collected and labelled user posture image data and created an image classification model to classify workers’ postures.

• Applied LIME(Local Interpretable Model Explanations) to estimate image regions and gave diagnostic report.

• Won a Bronze medal from the Korea Institute of Industrial Engineers (KIIE). EXTRACURRICULAR ACTIVITIES

Coadable Jan 2023 – May 2023

• Lectured on computer science introduction in weekly basis and managed each team member’s assignment and project.

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