Transforming business with AI | Kaggle Master Tier
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly experienced in Artificial Intelligence and Data Science fields, medal winner in multiple international competitions.
Udacity
Deep Learning Nanodegree, Artificial Intelligence
January 1, 2018 – January 1, 2018
University of Nottingham
Master of Engineering
January 1, 2012 – January 1, 2016
Air Liquide
Senior ML Engineer
December 1, 2021 – Present
Rehearso
Technical Co-Founder
October 1, 2020 – December 1, 2021
Rehearso
Founding Data Scientist
January 1, 2019 – September 1, 2020
ViTrox Corporation Berhad
Machine Learning Engineer - R&D
January 1, 2016 – January 1, 2019
Kaggle
Kaggle Competitions Master
January 1, 2016 – Present
Singapore Aerospace mfg
Intern
June 1, 2014 – September 1, 2014
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Certified Rapidminer Analyst
Altair RapidMiner
June 24, 2026 – Present
SAS Certified Predictive Modeler
SAS
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups (Rehearso), large corporations (Air Liquide, ViTrox), and competitive platforms (Kaggle) suggests adaptability to various work cultures. Their involvement in full-stack development and data science indicates a broad skill set that could contribute to cross-functional teams. The focus on AI/ML throughout their career aligns strongly with an ML Engineer role, indicating a passion for the field. The lack of project descriptions makes it difficult to assess collaboration styles or specific team contributions.
Soft Skills & Operational Fit
The candidate's experience as a Technical Co-Founder and Founding Data Scientist at Rehearso suggests entrepreneurial drive, leadership potential, and the ability to work in dynamic environments. Their extensive Kaggle competition success indicates strong self-motivation, resilience, and a results-oriented approach. However, without specific psychometric or communication test results, a detailed assessment of soft skills and operational fit beyond these inferences is not possible.