I'm Minh Quan
Data engineer - Software developer
I build data solutions to drive innovationAbout me
Aspiring computer science graduate at Monash University with entry-level professional proficiency in data science and software development.
I am dedicated to leverage my technical expertise and analytical skills to drive innovation and growth for forward-thinking organizations.
My toolkit
Data Engineer
Languages: Python, SQL, R
Spark
AnalyticsTableau
DashboardDagster
OrchestrationPostgres
DatabaseDatabricks
PlatformAWS
CloudPandas
AnalyticsPlotly
VisualisationLangchain
LLMPytorch
Deep learningSoftware Developer
Languages: Python, Typescript
React
FrontendTailwind
CSSNextjs
FrontendChakra
ComponentsDjango
BackendFastapi
APIPrisma
ORMGit
VersionDocker
ContainerQualifications
Education
Monash University
Master of Data Science 2024 - 2025Bachelor of Computer Science 2021 - 2024
Ho Chi Minh University Of Technology
Bachelor of Computer Engineering 2020 - 2021Experience
Monash IT Faculty
Peer Mentor Mar ~ Nov 2023Projects
A music recommendation system that analyzes your music taste and provides suggestions on artists and tracks that align with your music characteristics.
The system employs Content-based Filtering technique to provide accurate music recommendations based on user preferences and music characteristics, utilizing Spotify Million Playlist Dataset and OpenAI GPT-4 model.
A music recommendation system that leverages Large Language Model to analyze user music tastes and gives suggestions based on their characteristics.
A compact ELT system designed to gather and orchestrate music data pipelines from Spotify, specifically targeting playlists such as Discovery Weekly, Release Radar.
A multifunctional Discord bot designed for playing music, equipped with a comprehensive range of commands to enhance the audio experience within server.
Visualization of music data with an emphasis on examining the correlation between different audio features and genre distinctions.
A compact system for gathering and organizing game statistics data from Riot API which retrieves match history, ranked information, or custom player statistics.
Visualization of Netflix data which emphasizes the revenue growth over years, with a particular focus on distinctive characteristics among various movie genres.