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Click here or scroll down to respond to this candidateCandidate's Name
Champaign, IL PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLEEDUCATIONUniversity 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 SKILLSOptimization Simulation Project Management DataPreprocessingMachineLearning 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 EXPERIENCEData Optimization Laboratory Aug 2023 Apr 2024Graduate 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 2022Industrial 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 EXPERIENCECombined 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 ACTIVITIESCoadable Jan 2023 May 2023 Lectured on computer science introduction in weekly basis and managed each team members assignment and project. |
