
Field Data Scientist @Mastercard | Graduated with Honours in Industrial Engineering @ University of Toronto
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Mastercard
Data Scientist
June 27, 2026 – Present
mediwall-analytics-backend
June 7, 2026 – Present
mediwall-analytics-backend — GitHub repository
View ProjectGemastik-Semarang-Natural-Disasters-Classification
May 29, 2024 – June 3, 2024
Gemastik-Semarang-Natural-Disasters-Classification — GitHub repository
View ProjectSingapore-Airlines-Sentiment-Analysis
April 2, 2024 – May 12, 2024
Singapore-Airlines-Sentiment-Analysis — GitHub repository
View ProjectNYC-Airbnb-Price-Forecasting
March 8, 2024 – March 16, 2024
NYC-Airbnb-Price-Forecasting — GitHub repository
View ProjectSafeguardNavigator
December 20, 2023 – January 24, 2024
SafeguardNavigator — GitHub repository
View Projectmart1428.github.io
November 19, 2023 – November 20, 2025
This is a clone from https://github.com/Nicholas-Martin007/Portfolio
View ProjectNicholas-Martin007.github.io
November 19, 2023 – October 15, 2024
This is my portfolio, feel free to copy my template
View ProjectFlower-Classification
November 10, 2023 – November 11, 2023
Flower-Classification — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on data science and machine learning, aligning well with a Data Scientist role. The diversity of projects (natural disaster classification, sentiment analysis, price forecasting) indicates a broad interest within the field. However, the projects are all personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit beyond technical alignment. The future role at Mastercard suggests a good fit for structured environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.