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Computer Science and Learning Sciences @ Northwestern University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Learning Sciences researcher with experience in both academic and corporate settings. Areas of interest include spaced repetition, language acquisition, motor skill acquisition, mindfulness, and informal learning settings.
Northwestern University
Doctor of Philosophy - PhD, Computer Science and Learning Sciences
May 1, 2023 – June 1, 2028
Minerva University
Bachelor’s Degree, Computational Science (Business Minor)
August 1, 2016 – June 1, 2020
Artificial Intelligence Association of Thailand
Teaching Assistant
January 1, 2022 – March 1, 2022
Bangkok, Bangkok City, Thailand
Looloo Technology
Machine Learning Engineer
August 1, 2021 – May 1, 2023
Bangkok, Bangkok City, Thailand
Artificial Intelligence Association of Thailand
AI Engineer
March 1, 2021 – July 1, 2021
Bangkok, Bangkok City, Thailand
Artificial Intelligence Association of Thailand
Program Participant
September 1, 2020 – March 1, 2023
Bangkok, Bangkok City, Thailand
Minerva Project
Teaching Assistant
September 1, 2019 – April 1, 2020
London, United Kingdom · Remote
betahaus
Data Analyst
August 1, 2018 – December 1, 2018
Berlin, Germany
T-Hub Hyderabad
Operations Analyst
January 1, 2018 – April 1, 2018
Greater Hyderabad Area
LINE Corp
Software Engineering Intern
May 1, 2017 – August 1, 2017
Tokyo, Tokyo, Japan
Cultural Fit Analysis
The candidate has a strong background in AI and Machine Learning, with significant involvement in the Artificial Intelligence Association of Thailand. While their experience includes 'Data Analyst' and 'Operations Analyst' roles, the primary focus appears to be on machine learning engineering and research. The target role of 'Data Analyst' might be a slight mismatch with their deep ML/AI background, potentially indicating an overqualification or a desire to shift focus. The breadth of their experience across different companies and types of projects (e.g., computer vision, fraud detection, recommendation systems) suggests a versatile individual who can adapt to various challenges. However, the lack of specific projects directly aligning with traditional 'Data Analyst' responsibilities (e.g., extensive dashboarding, A/B testing, business intelligence tools) could be a gap.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant and participation in competitive data science events suggest strong communication, teamwork, and problem-solving skills. Their involvement in presenting projects to government officials indicates confidence and presentation abilities. The diverse project experience implies adaptability and a proactive approach to learning and applying new techniques.