Driven by curiosity and a desire to understand complex problems, I approach data with an analytical mindset and a focus on uncovering meaningful patterns. I enjoy tackling challenges in data science and ML, collaborating with cross-functional teams, and communicating insights effectively. I strive to translate these insights into practical solutions that support informed and impactful decision-making, and I enjoy working on machine learning projects that make a real-world difference.

Minh Huynh

Driven by curiosity and a desire to understand complex problems, I approach data with an analytical mindset and a focus on uncovering meaningful patterns. I enjoy tackling challenges in data science and ML, collaborating with cross-functional teams, and communicating insights effectively. I strive to translate these insights into practical solutions that support informed and impactful decision-making, and I enjoy working on machine learning projects that make a real-world difference.

Available to hire

Driven by curiosity and a desire to understand complex problems, I approach data with an analytical mindset and a focus on uncovering meaningful patterns. I enjoy tackling challenges in data science and ML, collaborating with cross-functional teams, and communicating insights effectively.

I strive to translate these insights into practical solutions that support informed and impactful decision-making, and I enjoy working on machine learning projects that make a real-world difference.

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Experience Level

Expert
Expert
Intermediate

Language

English
Advanced
Vietnamese
Intermediate

Work Experience

Medical Documentation Assistant (Internship)
August 20, 2024 - August 20, 2025
Provided remote care support and assisted in medical documentation tasks.
Machine Learning Project at Self-initiated Project (Melbourne, Australia)
April 20, 2024 - May 20, 2024
Selected and implemented a supervised learning model (SVM) to predict IMDb scores for over 700 movies using data scraping techniques. Preprocessed data using one-hot encoding and feature selection, increasing model accuracy from 50% to 76%. Tracked model predictions and applied evaluation metrics to assess performance and identify areas for improvement. Analyzed model strengths and limitations to guide future enhancements.
Peer Mentor at University of Melbourne
February 1, 2024 - March 1, 2024
Organized regular meetings to communicate university updates, share important information, and check in on mentees' wellbeing. Provided ongoing support to help mentees feel comfortable in the university environment and assisted them in overcoming academic and personal challenges.

Education

Bachelor of Science at University of Melbourne
January 11, 2021 - January 19, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Professional Services