Resume Mathematician in Vietnam Ho Chi Minh City – Free Word Template Download with AI

Name: Nguyen Van Minh

Address: 123 Le Loi Street, District 1, Ho Chi Minh City, Vietnam

Email: [email protected] | Phone: +84 909 123 456

LinkedIn: linkedin.com/in/nguyenminh-mathematician

A dedicated Mathematician with over 10 years of experience in research, data analysis, and problem-solving. Specialized in applied mathematics and computational modeling, with a strong focus on addressing real-world challenges in Vietnam's rapidly growing economy. Proficient in leveraging mathematical theories to optimize business strategies, enhance technological solutions, and support academic advancements. Based in Ho Chi Minh City, I aim to contribute my expertise to local institutions and industries by bridging theoretical mathematics with practical applications. My work has consistently emphasized collaboration with universities, tech startups, and government agencies across Vietnam Ho Chi Minh City.

Ph.D. in Mathematics
University of Science, Ho Chi Minh City, Vietnam
2015–2019
Thesis: "Optimization Algorithms for Traffic Management Systems in Urban Areas"

M.Sc. in Applied Mathematics
Vietnam National University, Hanoi, Vietnam
2012–2015

B.Sc. in Mathematics
Ho Chi Minh City University of Education, Vietnam
2008–2012

Senior Research Mathematician

Vietnam Institute of Advanced Study in Mathematics (VIASM)
Ho Chi Minh City, Vietnam
2019–Present

• Lead research on stochastic models for financial risk assessment, collaborating with local banks in Vietnam Ho Chi Minh City to develop predictive tools.
• Published 8 peer-reviewed papers in international journals, focusing on mathematical applications for urban planning and economic forecasting.
• Supervised 5 graduate students at the University of Science, Ho Chi Minh City, fostering academic growth and innovation in mathematics.

Mathematical Consultant

Vietnam Tech Innovations Co., Ltd.
Ho Chi Minh City, Vietnam
2017–2019

• Designed algorithms for data-driven decision-making systems used by e-commerce platforms in Vietnam Ho Chi Minh City.
• Provided expertise in statistical analysis to optimize logistics networks for a major shipping company based in the city.
• Collaborated with AI teams to integrate machine learning models with traditional mathematical frameworks, improving system accuracy by 30%.

Teaching Assistant & Researcher

University of Science, Ho Chi Minh City
2015–2017

• Taught undergraduate courses in calculus and linear algebra, receiving high student satisfaction ratings.
• Conducted research on differential equations, contributing to projects funded by the Vietnam Ministry of Education.

• Technical Proficiency: Python, R, MATLAB, SPSS, LaTeX
• Data Analysis: Statistical modeling, predictive analytics, data visualization
• Mathematical Expertise: Optimization theory, stochastic processes, numerical methods
• Collaboration: Cross-functional team leadership, academic and industry partnerships
• Languages: Vietnamese (native), English (fluent), French (basic)

Smart Traffic Management System for Ho Chi Minh City
2018–2019
Developed a mathematical model to reduce traffic congestion using real-time data from sensors. The system was piloted in District 3, improving traffic flow by 25%.

Financial Risk Modeling for Vietnamese Banks
2020–Present
Created risk assessment frameworks for commercial banks in Vietnam Ho Chi Minh City, enhancing their ability to predict market fluctuations and manage loan portfolios.

Mathematical Education Initiatives
2016–Present
Partnered with local schools to design advanced math curricula for high-achieving students, supported by grants from the Ho Chi Minh City Department of Education.

• IEEE Mathematical Modeling Certificate, 2018
• Best Research Paper Award, VIASM, 2019
• Vietnam National Science Foundation Grant Recipient, 2021 (for AI-driven economic forecasting research)

"Optimizing Urban Mobility in Ho Chi Minh City Using Stochastic Algorithms", Journal of Applied Mathematics, 2019.

"Machine Learning Integration with Traditional Mathematical Models for Financial Risk Analysis", International Conference on Data Science, 2020.

Available upon request. Contact me at [email protected] or +84 909 123 456.