{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Chaeyeon Kim","label":"Research Assistant","image":"https://saywise-production-profilepicturestoragebucket-kbfooccc.s3.amazonaws.com/profile-pictures/dd45bcd7-ce19-41e8-9b95-1af86a52bee1/linkedin-1791312737013.jpg","summary":"Computer Science student at University at Buffalo focusing on brain-computer interfaces and EEG signal processing, with experience in data analysis and full-stack development.","location":{"city":"United States"},"profiles":[{"network":"LinkedIn","username":"chaeyeon-kim01","url":"https://linkedin.com/in/chaeyeon-kim01"},{"network":"GitHub","username":"Chaeyeon-Kim01","url":"https://github.com/Chaeyeon-Kim01"}]},"meta":{"canonical":"https://saywise.com/member5820","version":"v1.0.0","lastModified":"2026-10-06T18:54:53.638Z"},"x_saywise":{"handle":"member5820","pronouns":null,"availability":null,"oneLiner":"Computer Science student at University at Buffalo focusing on brain-computer interfaces and EEG signal processing, with experience in data analysis and full-stack development.","profileUrl":"https://saywise.com/member5820","markdownUrl":"https://saywise.com/member5820/profile.md","pdfUrl":"https://saywise.com/member5820/resume.pdf","archetype":{"code":"HB-MX","name":"All-Terrain Artisan","url":"https://saywise.com/sca/6fb6059ac275","rarity":"One of the first All-Terrain Artisans on Saywise"}},"work":[{"name":"University at Buffalo","position":"Neuropoly (UB Hackathon 2025)","location":"University at Buffalo, New York, United States","url":"https://buffalo.edu","startDate":"2025-11-01","endDate":"2025-11-01","summary":"• Developed a non-invasive BCI system enabling gameplay using only EEG signals • Implemented live data acquisition with OpenBCI Ganglion and BrainFlow • Designed signal processing pipeline: band-pass filtering, FFT, CCA frequency detection • Built Python-based integration for real-time neural intent recognition • Created attention-based input system without eye tracking or physical controllers • Demonstrated accessibility-focused gameplay for users with mobility impairments • Collaborated with a multidisciplinary team from CS, EE, and neuroscience"},{"name":"University at Buffalo, Department of Computer Science & Engineering / ESC Group","position":"Research Assistant","location":"Buffalo, NY","startDate":"2025-09-01","summary":"Co-authoring a PRISMA-ScR systematic review on non-invasive brain-computer interfaces, unifying speech-decoding and auditory-modulating research. Contributing to the NeurIPS 2025 EEG Foundation Challenge by developing and benchmarking models using the Braindecode framework."},{"name":"UB Data Science & Machine Learning Club","position":"Teaching Intern","location":"University at Buffalo, NY","startDate":"2025-09-01","endDate":"2025-12-01","summary":"• Facilitate weekly workshops on Python, data analysis (Pandas, NumPy), and foundational machine learning concepts. • Teach supervised/unsupervised learning, model evaluation, and practical ML workflows using scikit-learn. • Mentor students through hands-on projects, including exploratory data analysis, feature engineering, and training ML classifiers. • Develop learning materials, coding templates, and interactive demos to support 100+ students across beginner and intermediate sessions. • Drive a collaborative learning environment by helping participants debug code, understand algorithms, and build portfolio-ready projects."},{"name":"Chartmetric","position":"Data Analyst Freelancer","location":"Remote","url":"https://chartmetric.com","startDate":"2024-07-01","endDate":"2025-07-01","summary":"Automated keyword extraction and SQL debugging for music analytics dashboards, improving query accuracy by 30% and reducing execution time by 25%. Collaborated with AI engineers on chart intelligence and resolved data mismatches in ClickHouse pipelines. Designed scalable workflows to match songwriter metadata across AllMusic, MLC, and Spotify."},{"name":"BFactory","position":"Business Operator Intern","location":"Seoul, South Korea","startDate":"2024-01-01","endDate":"2024-07-01","summary":"Built multilingual Ameli websites in Korean, Japanese, and English. Analyzed ad performance using GA4 and Google Ads to optimize campaign effectiveness."}],"education":[{"institution":"University at Buffalo","studyType":"Computer Science","startDate":"2024-09-01","endDate":"2027-06-01"}],"projects":[{"name":"Neuropoly","description":"Developed a real-time EEG-controlled game using OpenBCI Ganglion signals. Built preprocessing and classification pipeline to enable attention-based game interactions. Coordinated demo strategy, documentation, and debugging within 24 hours."},{"name":"Brain Tumor Classifier","description":"Built a CNN model to classify brain tumor MRI images across multiple categories. Preprocessed dataset with normalization, augmentation, and stratified splits. Optimized performance through hyperparameter tuning."}],"skills":[{"name":"Pandas (Software)"},{"name":"Machine Learning"},{"name":"NumPy"},{"name":"Scikit-Learn"},{"name":"Neuroengineering"},{"name":"Research Skills"},{"name":"Electromyography (EMG)"},{"name":"BrainFlow"},{"name":"MNE-Python"},{"name":"EEG Signal Processing"},{"name":"SSVEP"},{"name":"Brain-computer Interfaces"},{"name":"Neurotechnology"},{"name":"Python (Programming Language)"},{"name":"SQL"},{"name":"C++"},{"name":"Data Analysis"},{"name":"Full-Stack Development"},{"name":"International Business Strategy"},{"name":"Front-End Development"},{"name":"Digital Marketing"},{"name":"Search Engine Optimization (SEO)"},{"name":"Advertising Planning"},{"name":"Customer Segmentation Strategy"},{"name":"TensorFlow"},{"name":"Keras"},{"name":"ClickHouse"},{"name":"OpenBCI"},{"name":"Braindecode"},{"name":"deep learning"},{"name":"GA4"},{"name":"Google Ads"},{"name":"web development"}],"certificates":[{"name":"Google AI Essentials","date":"2024-07-01","issuer":"Google"},{"name":"ChatGPT Advanced Data Analysis","date":"2024-02-01","issuer":"Vanderbilt University"}]}