4th-year Computer Engineering student at Chulalongkorn University
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2110446-DataSci-Project-ThailandPM2.5
May 1, 2023 – May 1, 2023
2110446 (2021/2) (Data Science and Data Engineering) Project 2 - Playing with PM2.5 Data in Thailand
View Project2110430-TimeSeries-FinalProject-DTWExperiment
April 25, 2023 – April 30, 2023
2110430 (2022/2) (Time Series Mining and Knowledge Discovery) Final Project - Examining the effects of weight and slope constraint condition in Dynamic Time Warping on 1-nearest-neighbor classification accuracy, Chulalongkorn University
View Projectcompengess-activity-8-preparation-starter
March 14, 2023 – March 14, 2023
compengess-activity-8-preparation-starter — GitHub repository
View Projectswing-option-pricing-DP
January 13, 2023 – January 13, 2023
2604495 (2022/1) (Intro to Financial Engineering) Final Project - Pricing the swing option using dynamic programming algorithm, Chulalongkorn University
View Projectforecastpm2.5
April 27, 2022 – April 27, 2022
2110446 (2021/2) (Data Science and Data Engineering) Project 1 - PM2.5 forecasting for 72 hours in advance using SARIMAX model, Chulalongkorn University
View Projectsec2_PSPEducation
January 24, 2022 – May 9, 2022
2110336 (2021/2) Software Engineering II - Group Course Project - (WhereIsMyTUTOR) A matching platform for those who want to learn and the tutors, Chulalongkorn University
View Projectticketbooking
December 5, 2021 – April 30, 2023
2110497 (2021/1) Web dev with Ruby on Rails - Final Project - A simple movie ticket booking system developed using Ruby on Rails.
View Projectcomp-sys-arch-assignment1
September 11, 2021 – September 12, 2021
2110352 Computer System Architectures (2021/1) - Activity 1 (Instruction Set and Complier)
View ProjectCultural Fit Analysis
The candidate's project history shows a strong academic focus, primarily from university courses. The diversity of projects (web development, computer architecture, data science) indicates a broad interest, but also a lack of deep specialization in any single area. For a 'Data Scientist' role, the data science projects are relevant, but the other projects suggest a general engineering background rather than a focused data science trajectory. The candidate's experience level is 0, indicating a fresh graduate or entry-level profile, which might not align with senior-level expectations for cultural fit in a specialized role without further evidence of independent contributions or professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.