
nhat khoa
@nhatkhoa
I build cloud data workflows and machine learning projects using Python, SQL, and Google Cloud.
What I'm looking for
I've built cloud data and machine learning projects using Python, SQL, and Google Cloud, from large-scale BigQuery analysis to deployable prediction pipelines.
In a Google Cloud lab project, I configured Compute Engine virtual machines, designed BigQuery queries, organized data with Cloud Storage, and deployed machine learning models through scalable training pipelines. I also worked with IAM policies, networking, and cloud resource management.
For a house-price prediction project, I developed a Random Forest regression pipeline with 234 features and compared Permutation Importance, Boruta, and SHAP. I reduced the feature set to 20 while maintaining performance, reaching 0.1445 RMSE and 0.8872 R² on a log-transformed target.
I also built an AI productivity assistant for the VIBE CODING TDTU Competition, combining Gemini 3 Flash, tool calling, smart calendar scheduling, Firebase Authentication, and Gmail/Outlook workflows. I'm motivated by hackathons, AI/ML labs, problem-solving challenges, and data engineering.
Experience
Work history, roles, and key accomplishments
Lab Project
Google Cloud
Oct 2024 - Aug 2025 (10 months)
Configured and managed Virtual Machines on Google Compute Engine, designed and executed BigQuery queries, implemented Cloud Storage solutions, and developed machine learning models on Google Cloud AI Platform.
Competition Project
Agent Assistance - VIBE CODING TDTU COMPETITION
Jun 2026 - Present (3 months)
Built an AI-powered productivity assistant integrating Gemini 3 Flash and Function/Tool Calling, developed a Smart Calendar, and implemented Energy-Aware & Smart Breakdown Prompting.
Personal Project
House Price Prediction
Dec 2025 - Present (9 months)
Developed a Random Forest regression model to predict house prices, implemented and compared feature selection techniques, and built a reproducible Python/scikit-learn pipeline.
Education
Degrees, certifications, and relevant coursework
HCMC University of Technology and Education
Bachelor of Engineer, Information Technology
Grade: 3.2/4.0
Pursuing a Bachelor of Engineer in Information Technology with an expected graduation in 2028. GPA of 3.2/4.0.
Tran Phu High School
High School Diploma, General Studies
Grade: 8.4/10
Activities and societies: School-level Informatics Excellent Student-Award; Consolation Prize in the City-level Informatics Contest
Graduated from Tran Phu High School in 2024 with a GPA of 8.4/10. Received a school-level Informatics Excellent Student Award and a consolation prize in the City-level Informatics Contest.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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