AI Engineer & Data Analytics
Passionate about solving business challenges through AI and data-driven solutions. Currently building expertise in Python, Machine Learning, and LLM technologies through hands-on projects and continuous learning, with a focus on creating practical applications that drive real-world impact.
I'm dedicated to leveraging data analysis and AI technologies to solve complex business problems. My approach combines theoretical understanding with hands-on project experience to develop meaningful solutions.
"Data tells powerful stories when properly analyzed and interpreted. My international experience has given me diverse perspectives on how data can be leveraged to create insights that transcend cultural and linguistic boundaries."
AI & Data Analytics Enthusiast
Multi-source movie data collection and analysis using APIs and web scraping
Developed a comprehensive movie analysis system that integrates data from KOFIC and TMDB APIs, enhanced with web-scraped Naver movie ratings. Performed genre-based analysis, temporal trend identification, and rating correlation studies to uncover industry insights.
Multi-tier SQL analysis project using music streaming database
Designed and executed progressive SQL queries across basic, intermediate, and advanced levels using a music streaming platform database. Conducted customer segmentation analysis, revenue calculations, and cohort studies with direct business applications.
Marketing ROI optimization through comprehensive business metrics analysis
Analyzed customer acquisition costs and lifetime values across marketing channels to optimize ROI. Implemented cohort analysis to track customer retention patterns and developed actionable recommendations for marketing strategy improvements.
Passenger survival prediction with comprehensive factor analysis using machine learning
Conducted comprehensive analysis of survival factors using Titanic passenger data. Implemented feature engineering, outlier detection, and multiple preprocessing techniques to optimize classification model performance and interpretability.
Quality grade prediction using chemical composition analysis
Developed a classification system to predict wine quality grades based on chemical properties. Evaluated multiple machine learning algorithms and performed hyperparameter optimization to achieve optimal prediction accuracy.
Committed to continuous growth through learning and knowledge sharing
Consistent development progress and project contributions
Systematically organized learning concepts
Today I Learned (TIL) documentation
Successfully implemented efficient data collection strategies for KOFIC API with rate limiting considerations. Achieved reliable data retrieval through intelligent batch processing and optimized request timing.
Resolved complex HTML structure inconsistencies during Naver rating extraction through robust exception handling and adaptive selector strategies.
Systematically addressed data type inconsistencies and integration challenges when merging datasets from multiple sources during preprocessing phases.
Completed high school education and pursued Computer Science studies at the University of Toronto. Developed global perspectives and advanced English proficiency while immersing myself in a multicultural environment alongside peers from diverse backgrounds.
Specialized in PPL (Product Placement) monitoring and content strategy development at a digital advertising agency. Analyzed campaign effectiveness metrics and developed data-driven insights for enhanced marketing strategies.
Provided personalized ski instruction to diverse clientele ranging from beginners to advanced levels, while managing customer service operations and reservation systems. Developed strong skills in needs assessment, personalized service delivery, and customer satisfaction optimization.
Designed and delivered English immersion curriculum for kindergarten students in an international educational setting. Created engaging, age-appropriate learning programs that fostered language acquisition through interactive methodologies.
Currently enrolled in an intensive data analysis program at SeSAC, developing expertise in Python, SQL, and machine learning. Building comprehensive skills through daily algorithm practice and hands-on project implementation.
Aspiring to become a distinguished expert in leveraging data analytics to solve complex business challenges. My goal is to synthesize all of my diverse professional experiences to create actionable insights that drive meaningful impact in real-world scenarios.
Active participation in weekly machine learning paper review sessions, staying current with cutting-edge research and collaborating on innovative projects with fellow practitioners.
Regular attendance at monthly data science meetups to learn from industry leaders, gain practical insights, and build meaningful professional relationships within the community.
Active contributor on platforms like Kaggle and Stack Overflow, sharing knowledge with fellow developers and collaboratively solving complex technical challenges.
I'm always excited to explore new opportunities and collaborate on innovative projects. Let's discuss how we can work together!
"Let's create opportunities to grow and innovate together!"