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kth
Data Scientist
June 27, 2026 – Present
Meditation-Robot
December 15, 2024 – December 28, 2024
Meditation-Robot — GitHub repository
View ProjectsoundGesture_Setup
November 23, 2024 – November 23, 2024
soundGesture_Setup — GitHub repository
View ProjectAR_demo
November 21, 2024 – November 21, 2024
create a simple application that utilizes the Vuforia Augmented Reality engine in Unity
View ProjectdataStructure_tutorial
June 20, 2023 – June 20, 2023
dataStructure_tutorial — GitHub repository
View ProjectDesign-and-implementation-of-a-task-based-Q-A-system-based-on-TCM-knowledge-graph
March 5, 2023 – April 3, 2023
Cleanse the data of "Compendium of Materia Medica" as the full-text data foundation, with herbs as the center, to construct a Chinese medicine knowledge graph including 6 entity types and various relationship types. Use BiLSTM, CRF, and naive Bayes classification to build a question-answering system based on the Chinese medicine knowledge graph.
View ProjectTCM-KG
November 5, 2021 – May 26, 2022
Research on Knowledge graaph based on Chinese medicine
View ProjectTimeSeries_steelPrice_Prediction
July 18, 2021 – November 26, 2021
TimeSeries:Analysis and forecast of steel price time series by using ARIMA
View ProjectCultural Fit Analysis
The candidate shows a diverse range of interests beyond core data science, including robotics (Meditation-Robot), graphics (Field), and AR (AR_demo). This breadth could indicate adaptability and curiosity, but also a lack of focused specialization. The personal projects suggest a self-starter mentality. However, the lack of detailed descriptions makes it difficult to fully assess alignment with a collaborative or specific organizational culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.