Panggih Kusuma N.

Panggih has over 10 years of research and data analysis experience on a wide range of academic and professional projects. She hold a Ph. D. in Natural Language Processing (NLP), complemented by formal degree in Research Methodology and Data Analytics. Currently she is serving as a Researcher at Lucien Tesnière Research Center (CRIT), in France. She possess a solid understanding of research methodology and data science, making her well-equipped to handle complex data analysis and research projects. 💼 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: - Modelling Uncertainty in Science (InSciM) - Natural Language Processing, funded by French ANR JCJC Institution: UBFC, France (2022 - present) - Data Scraping, Preliminary Analysis, Market Research Institution: Ministry of Industry of The Republic of Indonesia, Center for Leather, Rubber and Plastics, Indonesia (2022) - Research collaboration project with Faculty of Law, University of Miskolc - Miskolci Egyetem, Hungary (2020 - 2021) Topic: Artificial Intelligence & Labour Law - Research project with Research Methodology Department, Faculty of Science & Technology, Prince of Songkla University, Thailand (2018) Title: Student’s Satisfaction Toward OFO Bicycle Service in PSU Pattani, Thailand. - Research project with Research Methodology Department, Faculty of Science & Technology, Prince of Songkla University, Thailand (2018) Title: The Analysis of Factors Affecting Preferences of Online Shopping Users in PSU Pattani, Thailand. 💻 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡: Qualitative, Quantitative, Mixed-Methods, Research Design, Data Collection, Literature Review, Data Analysis, Scientific Report & Writing 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Web Scraping, Data Mining, Data Cleaning & Pre-processing (structured & unstructured data), Data Management, Exploratory Data Analysis, Statistical Modelling, Data Visualisation 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Text Mining, Text Analysis, Information Extraction, Information Retrieval, Topic Modelling, Sentiment Analysis, Name Entity Recognition, POS Tagging, Language Modelling, NLP frameworks, Machine Learning, Deep Learning, LLM