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Thi Nhu Y Tran

@thinhuytran

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Detail-oriented Data Scientist and Analyst with NLP expertise.

Italy

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What I'm looking for

I am looking for a role that fosters collaboration, encourages innovation, and provides opportunities for professional growth in data science and analytics.

I am a detail-oriented Data Scientist and Analyst with over 3 years of experience in the financial and insurance sectors, complemented by more than 5 years in higher education. My proficiency in Python, SQL, R, SAS, Power BI, and Looker Studio enables me to conduct comprehensive data analysis, predictive modeling, and dashboard development. I have a proven track record of optimizing conversion rates, developing risk indicators, and applying advanced statistical and machine learning techniques to deliver actionable business insights.

My hands-on expertise includes evaluating large language models (LLMs) through prompt design, adversarial testing, and multilingual assessments. I am passionate about making complex data and AI systems accessible and effective. As an experienced educator with a solid foundation in mathematics, I excel at bridging theory and real-world data science applications, ensuring that my students and colleagues can effectively apply their knowledge in practical scenarios.

Experience

Work history, roles, and key accomplishments

Current

NLP Research Assistant

Current

Remote Project

Jan 2025 - Present (6 months)

Performed data labeling and prompt evaluation for large language models (LLMs), focusing on mathematical reasoning, statistical concepts, and multilingual tasks in English, Italian, and Vietnamese. Designed adversarial questions to challenge model limitations and evaluate robustness in domain-specific contexts (e.g., mathematics, logic, and linguistics).

Data Labeling Prompt Evaluation Large Language Models Multilingual Assessment Model Evaluation Model Fine Tuning Benchmarking

Data Scientist

University of Verona

Mar 2024 - Present (1 year 4 months)

Analyzed financial data using advanced econometric models (VAR, NNs, LSTMs) to uncover Granger causality and dynamic relationships among stock prices of Clean Energy firms, leading to actionable insights for market analysis. Developed and tested modified Vector Autoregressive (VAR) models to explore causal interdependencies among multiple time series, enabling a deeper understanding of financial d

Financial Analysis Econometrics Neural Networks Granger Causality Time Series Analysis Market Analysis

Data Analyst

VietCredit Joint Finance Company

Nov 2019 - Present (5 years 8 months)

Developed predictive models for early warning reports using statistical and machine learning techniques to mitigate potential risks, enhance decision-making, and support financial risk management initiatives. Created risk indicator dashboards and data visualizations in Power BI to effectively communicate complex modeling results, enabling cross-functional teams to take proactive measures against p

Statistical Analysis Machine Learning Power BI Data Visualization Risk Management SQL Data Extraction Business Growth

Administrative Assistant

University of Science

Jan 2018 - Present (7 years 6 months)

Managed student grades and subject records, ensuring accuracy and timely updates to support transparent academic tracking and reporting, improving overall administrative reliability. Coordinated lesson schedules, timetables, and faculty facilities to optimize resources and ensure smooth execution of academic activities, reducing scheduling conflicts.

Scheduling Resource Management Reporting Data Management Record keeping Coordination Communication

Teaching Assistant

University of Science

Jan 2017 - Present (8 years 6 months)

Taught Probability and Statistics Laboratory and Calculus 1 courses at the Faculty of Mathematics and Computer Science, guiding students in applying mathematical models and statistical methods to real-world data for practical understanding. Developed and delivered engaging instructional materials to enhance student comprehension of key concepts in statistical analysis, mathematical modeling, and q

Probability Statistics Mathematical Modeling Statistical Methods Instructional Design Programming Techniques Academic Performance Improvement

Mathematics Teacher

Thang Long

Jan 2016 - Present (9 years 6 months)

Delivered advanced mathematical concepts to high school students, adapting teaching methods to accommodate diverse learning styles and ensuring effective understanding of complex topics, enhancing student engagement. Developed and implemented engaging lesson plans, incorporating real-world applications to help students connect theoretical math concepts to practical scenarios, improving overall com

Mathematics Lesson planning Student Engagement Curriculum Development Real World Application

Education

Degrees, certifications, and relevant coursework

University of Verona

Master's Degree, Data Science

Grade: 107/110

Awarded a full scholarship to pursue a Master's in Data Science. Focused on advanced data analysis, predictive modeling, and machine learning techniques.

Ludwig Maximilian University of Munich

Erasmus Program, Data Science

Activities and societies: Attended courses in Statistical Models, Survival Analysis, Automated Machine Learning, Strategic Leadership and Management.

Participated in the Erasmus Program focusing on Data Science. Attended courses in Statistical Models, Survival Analysis, Automated Machine Learning, and Strategic Leadership and Management.