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Kezia Flaviana Irene Tamus

Data Analyst
Graduate student at National Tsing Hua University with a focus on Information Systems and Application, recipient of Distinguished Academic Achievement Awards and International College Dean's List Awards for four consecutive years, and a scholarship holder from the Taiwan International Cooperation and Development Fund. Experienced data consultant with a strong background in business analysis and data science, specializing in leveraging natural language programming, machine learning, and database management systems to drive data-driven insights for business and marketing strategies.
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國立清華大學
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國立清華大學
Hsinchu, Hsinchu City, Taiwan

Professional Background

  • Current status
    Unemployed
    Ready to interview
  • Profession
    Data Analyst
    Business Development
    Project Manager
  • Fields
    Artificial Intelligence / Machine Learning
    Digital Marketing / Data Marketing
    Organization / Management
  • Work experience
    1-2 years (1-2 years relevant)
  • Management
    I've had experience in managing 10-15 people
  • Skills
    Microsoft Office
    Project Management
    Product Development
    Presentation Skills
    Communication
    Multitasking
    Initiative
    Scheduling
    Time Management
  • Languages
    English
    Native or Bilingual
    Indonesian
    Native or Bilingual
    Chinese
    Intermediate
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    Data Analyst, Product Manager, Business Analyst
  • Desired work locations
    Taiwan
    Singapore
    Japan
    China
    Australia
    New Zealand
    Malaysia
    Thailand
    Indonesia
  • Freelance
    Part-time freelancer

Work Experience

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Graduate Research Assistant

國立清華大學
Part-time
Sep 2022 - Aug 2023
1 yr 0 mos
Hsinchu, Hsinchu City, Taiwan
- Conducted research in the field of natural language processing (NLP), with a specific focus on emotion and mental health-related topics, and utilized advanced NLP tools and techniques, such as sentiment analysis, topic modeling, and deep learning models, to extract valuable insights from unstructured text data. - Proficient in programming languages like Python and relevant NLP libraries (e.g., NLTK, spaCy, TensorFlow) for research and data analysis. - Collaborated on the project titled "Context-Aware Tweet Clustering and Contrastive Learning for Low Self-Esteem Analysis," which involved the development of novel NLP techniques for analyzing low self-esteem in social media posts. - Co-authored research papers, including "Stress-coping Tweets Acquisition: A Two-phase Bootstrapping Method on Patterns and Semantic Features," which were successfully published in the International Conference on Technologies and Applications of Artificial Intelligence (TAAI).
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Graduate Teaching Assistant

國立清華大學
Part-time
Sep 2022 - Feb 2023
6 mos
Hsinchu, Hsinchu City, Taiwan
- Assisted in the delivery of a Data Mining course for a diverse group of approximately 100 undergraduate to Ph.D. students, spanning various backgrounds and nationalities. - Collaborated with the instructor to execute the Data Mining class syllabus, covering topics such as Association Rules, Clustering, Classification, Text Mining, and Data Mining Applications. - Participated in grading assignments, projects, and exams, ensuring fair and consistent evaluation of student performance and offered constructive feedback to students to help them enhance their data mining skills and analytical abilities.
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Associate Data Scientist

IBM Taiwan
Internship
Jul 2022 - Aug 2022
2 mos
Taipei City, Taiwan
- Collaborated with clients (e.g. McDonalds), to comprehend their business processes and goals, enabling the development of personalized marketing strategies to enhance customer engagement. - Conducted comprehensive data profiling by reviewing source data, assessing data structure, content, and identifying interrelationships among project entities using SQL on Amazon Redshift. - Employed Amazon S3 and Amazon Glue to efficiently manage and process large volumes of data, ensuring data quality and accessibility to perform in-depth data analysis. - Collaborated with cross-functional teams, including marketing, IT, and business analysts, to align data-driven decisions with organizational objectives.

Education

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Master of Science (MS)
Information Systems and Applications
2021 - 2023
4.21/4.3 GPA
Activities and societies
- Awarded a prestigious scholarship from the Taiwan International Cooperation and Development Fund in recognition of academic excellence and commitment to advancing knowledge and international cooperation. - Member of Intelligent Data Engineering and Applications Laboratory (IDEA Lab) supervised by Prof. Yi-Shin Chen. - Assumed the role of Teaching Assistant for a Data Mining class, actively engaging with students to facilitate their understanding of complex data analysis techniques and methodologies.
Description
Research works: - Collaborated on the research project titled "Context-Aware Tweet Clustering and Contrastive Learning for Low Self-Esteem Analysis." - Co-authored and contributed to research papers, including "Stress-coping Tweets Acquisition: A Two-phase Bootstrapping Method on Patterns and Semantic Features," which were successfully published and presented at the International Conference on Technologies and Applications of Artificial Intelligence (TAAI). Projects: - Developed an application utilizing ReactNative, SQL, and Neo4j to analyze the Property Prices Index, measuring historical housing prices and changes. - Utilized Next Gen Stats (NGS) data spanning from 2018 to 2020 for NFL by employing multiple machine learning algorithms in Python to enhance predictive accuracy and performance. Learning experiences: - Gained skills in computational statistics for business analytics, data mining, programming, research, and presentation skills, as well as advanced database systems. - Proficient in descriptive and inferential statistics, time series analysis, multivariate analysis, and experimental design. - Ability to effectively analyze complex datasets and provide actionable insights for organizations.
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Bachelor of Science (BS)
Applied Computing
2017 - 2021
Activities and societies
- Actively participated in International College Student Association (ICSA), contributing to international student engagement and cultural exchange. - Served as a Teaching Assistant for various courses, including Discrete Mathematics, Information Technology, and Programming.
Description
Awards: - Received the International Culture & Wearable Technology Design Award, issued by the Ministry of Science and Technology, in recognition of outstanding achievements in the field of wearable technology design. - Received the National Mobile Creative Application Award in recognition of outstanding contributions to the project, showcasing excellence in mobile app development and innovation. - Received the Distinguished Academic Achievement Award, acknowledging exceptional academic accomplishments and excellence in scholarly pursuits. - Received the Distinguished Extracurricular Achievement Award for notable contributions and accomplishments outside of the academic curriculum. - Named to the International College Dean's List, recognizing academic excellence and outstanding performance in coursework. Projects: - Led a project team in the development of a cross-platform socializing mobile app for both iOS and Android using React Native, JavaScript, and CSS. Learning experiences: - Gained a diverse skill set encompassing statistics, calculus, management information systems, data mining, data visualization, cloud computing, network systems, and programming in languages such as C, Python, and Java, along with expertise in AI, including machine learning and deep learning.

Licenses & Certifications

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Distinguished Extracurricular Achievement Award

銘傳大學
Issued Jun 2021
No Expiration Date
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Distinguished Academic Achievement Award

銘傳大學
Issued Jun 2021
No Expiration Date
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National Mobile Creative Application Award

萬能科技大學
Issued Dec 2020
No Expiration Date
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International College Dean's List Award

銘傳大學
Issued Sep 2020
No Expiration Date
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International Culture & Wearable Technology Design Award

Ministry of Science and Technology
Issued Dec 2017
No Expiration Date