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GPA: 3.94 / 4.00 Natural Language Processing, Large Language Models, Information Retrieval, Machine Learning, Data Mining Teaching Assistant - Advanced Data Mining and Big Data Analysis, Information Retrieval, Algorithm National United University Sep~ JulBachelor of Information management Internet of Things, Web design, Database design. Skills Programming Language: Python, C++, Java, SQL, JavaScript, PHP Machine Learning: Pytorch, Transformer, Numpy, NLTK, Scikit-learn Development Tools: Github, HuggingFace, Docker Distributed Computing: Hadoop, Spark Backend framework: Django, Flask, FastAPI Database: MySQL, SQLite, ElasticSearch Publications Distractor Generation based on Text2Text Language Models with Pseudo Kullback-Leibler Divergence Regulation Jul

SEO YEON PARK 2635 Portland Street, LA, CA seoyeon9249 @gmail.com Education University of Southern California, Los Angeles, CA Expected May 2018 Master of Science in Computer Science Coursework: CSCI570 - Analysis of Algorithm, CSCI561 - Introduction of Artificial Intelligence, CSCI544 - Applied Natural Language Processing, CSCI578 - Software Architecture, CSCI534 - Affective Computing Ewha Womans University, Seoul, Republic of Korea Feb 2016 Bachelor of Science in Computer Science and Engineering (Magna Cum Laude) Research Experience Directed Research JanPresent Autonomous Networks Research Group (Advisor: Prof. Bhaskar Krishnamachari) at University of Southern California CHARIOT project; Implementing Revolutionized Personal Learning Framework based on IoT

AI for Smart Devices, Huawei Cloud Enterprise Intelligence Application Platform, Data Preparation and Analysis, Data Visualization, Data Modeling, Machine Learning & Deep Learning Develop Sentiment Analysis Model: The primary responsibility is to develop a sentiment analysismodel. This model should be capable of predicting emotions from text data. It involves natural language processing (NLP) techniques and machine learning SVM.. Text Classification: Classify the text data from EDOM ( dataset or source of textual information) into one of the five predefined emotion categories: very good, good, enough, less, and unknown. This classification based on the sentiment and context of

WangPengKang 王鵬綱 Currently, I am a Senior Data Engineer at Far EasTone Telecom, focusing on data warehousing, data transformation, CICD , automation, web scraping, data science, and providing data platform services and insights. Taipei, Taiwan Skill Data&ETL : DataBricks ,Trinity ,Airflow, Prefect, Spark(pyspark), RabitMQ CICD : Docker, Jenkins, Git Database : Teradata, MySQL, Oracle ,PostgreSQL Programming languages : Python, SQL Machine Learning : Classification, Clustering, Regression, Natural Language Processing, Fraud Detection, Recommender System, Social Network Mining Visualization : Tableau, Metabase, Python(Matplotlib, Seaborn, plotly, DASH), Data Studio Crawler : python(BeautifulSoup, Selenium, Scrapy, Mitmproxy) Others VSCode , Notion, Hackmd Work Expertise and Experience 工

公司 十二月三月Implemented RxSwift framework and MVVM patterns. Later refactoring to MVVM-C pattern - Introduce usage of Gitflow for maintaining proper feature development and release cycle - Assisted in debugging and testing, contributing to the successful launch of an app update - Developed and released a language vocabulary game, showcasing strong problem-solving skills and creative UI/UX design - Implemented a real-time language translation feature, leveraging Core ML and Natural Language Processing, expanding the app's global reach App Team Lead • iQIYI 愛奇藝 六月九月Adopted the MVVM pattern and

empowering individual consumers. Utilized advanced data analysis techniques to create a robust model providing actionable insights into borrower-lender interactions, risk assessment, and market trends. Data Science intern • The Machine Learning Company -Apprenticeship FebruaryMay 2022 Completed The Machine Learning Project program, specializing in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Gained expertise in industry-specific areas such as Cloud Deployment, Streamlit, Explainable AI, and MLOps. Acquired a strong foundation in applying advanced AI techniques to solve real-world problems. Passionate about leveraging expertise to drive innovation and deliver valuable insights through the power

pricing, alternatives, and whether it's worth using for your SEO content strategy. Read on to see if this AI writing assistant lives up to the hype. >> TRY NEURONWRITER HERE << What is Neuronwriter and How Does it Work? Neuronwriter is a cloud-based content editor that uses NLP (natural language processing) and AI to optimize your articles and pages for keywords and search engine ranking. It analyzes your writing to identify opportunities related to: Keyword optimization - Ensuring you target the right keywords in the right places. Content structure - Improving headers, paragraphs, and formatting. Readability - Checking