I'm Phuong (Charlotte) Dinh, a data science professional based in Stockholm with hands-on experience in financial analytics, fraud detection, and risk management. I am currently pursuing an MSc in Data Science, Statistics, and Decision Analysis at Stockholm University, building skills in predictive modeling and ML to transform complex data into actionable insights. I hold a BA in Data Science in Economics and Business from National Economics University, with a strong record of scholarship and a thesis on credit card fraud detection. In industry, I've worked as a Business Intelligence Analyst at Techcombank and as a Risk Modeling Analyst at MBBank in Vietnam, delivering time-series forecasts, fraud detection models, and unified risk frameworks. I enjoy turning data into dashboards and decision-ready analyses using Python, SQL, Power BI, and Tableau, and I thrive in cross-functional, Agile environments that drive measurable impact in financial services.

Phuong (Charlotte) Dinh

I'm Phuong (Charlotte) Dinh, a data science professional based in Stockholm with hands-on experience in financial analytics, fraud detection, and risk management. I am currently pursuing an MSc in Data Science, Statistics, and Decision Analysis at Stockholm University, building skills in predictive modeling and ML to transform complex data into actionable insights. I hold a BA in Data Science in Economics and Business from National Economics University, with a strong record of scholarship and a thesis on credit card fraud detection. In industry, I've worked as a Business Intelligence Analyst at Techcombank and as a Risk Modeling Analyst at MBBank in Vietnam, delivering time-series forecasts, fraud detection models, and unified risk frameworks. I enjoy turning data into dashboards and decision-ready analyses using Python, SQL, Power BI, and Tableau, and I thrive in cross-functional, Agile environments that drive measurable impact in financial services.

Available to hire

I’m Phuong (Charlotte) Dinh, a data science professional based in Stockholm with hands-on experience in financial analytics, fraud detection, and risk management. I am currently pursuing an MSc in Data Science, Statistics, and Decision Analysis at Stockholm University, building skills in predictive modeling and ML to transform complex data into actionable insights. I hold a BA in Data Science in Economics and Business from National Economics University, with a strong record of scholarship and a thesis on credit card fraud detection.

In industry, I’ve worked as a Business Intelligence Analyst at Techcombank and as a Risk Modeling Analyst at MBBank in Vietnam, delivering time-series forecasts, fraud detection models, and unified risk frameworks. I enjoy turning data into dashboards and decision-ready analyses using Python, SQL, Power BI, and Tableau, and I thrive in cross-functional, Agile environments that drive measurable impact in financial services.

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Language

Vietnamese
Fluent
English
Advanced

Work Experience

Business Intelligence Analyst at Techcombank - Vietnam
July 1, 2025 - July 1, 2025
Built predictive and descriptive models for merchant customers, including sales turnover lifecycle analysis (time series forecast) and high-potential merchant locations identification (classification with OpenStreetMap data). Key data member in Agile project Sapo × Techcombank unsecured overdraft loan (400+ disbursed by Feb 2025). Developed and maintained Power BI dashboards for credit card performance (monthly), partnership workflows (weekly), and sales acquisition tracking (daily). Conducted ad-hoc and urgent analyses using Excel, SQL, and Power BI to support business.
Risk Modeling Analyst at MBBank - Vietnam
June 1, 2024 - June 1, 2024
Designed and implemented a supervised ML model for credit card fraud detection (80% recall, 85% precision). Conducted fraud case analysis (money laundering, online gaming) and prepared official reports for the Ministry of Public Security. Created Tableau dashboards for fraud pattern detection.
Data Analyst (Collaborator) at MBBank - Vietnam
July 1, 2023 - July 1, 2023
Supported Financial Crime Risk Management project (MBBank x Deloitte) with data preparation, analysis, and documents. Key achievement: Pioneered and documented a unified fraud detection framework that integrated ML models with rule-based lists of the project, resolving critical redundancies that were previously undetected and transforming the team’s approach.

Education

Master of Science in Data Science, Statistics, and Decision Analysis at Stockholm University
August 1, 2025 - November 6, 2025
Bachelor of Arts in Data Science in Economics and Business at National Economics University
August 1, 2019 - December 1, 2022
M.Sc. Data Science, Statistics, and Decision Analysis at Stockholm University
August 1, 2025 - November 6, 2025
B.A. Data Science in Economics and Business at National Economics University
August 1, 2019 - December 1, 2022

Qualifications

Business Analysis Foundation
January 11, 2030 - November 6, 2025
Software Product Management
January 11, 2030 - November 6, 2025
Google Data Analytics
January 11, 2030 - November 6, 2025
Business Analysis Foundation
January 11, 2030 - November 6, 2025
Software Product Management
January 11, 2030 - November 6, 2025
Google Data Analytics
January 11, 2030 - November 6, 2025

Industry Experience

Financial Services, Software & Internet, Professional Services, Other, Education