HI, I AM

JUSTIN
TAN

A Data Science Student focusing on Full Stack Development, Data Analytics, and Data Engineering.

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ABOUTEXPWORKSSKILLS

ABOUT

I am a relentless learner who thrives at the intersection of Full Stack Development, Data Analysis, and Data Engineering.

Lifelong Curiosity

My journey in technology is driven by a profound curiosity that extends far beyond the lecture hall or the office. I am constantly exploring the latest breakthroughs in AI and cloud architecture, often spending my free time building side projects that challenge my understanding of scalable systems.

For me, code is more than just a tool for building applications, it's a medium for solving complex puzzles and automating the mundane. I take pride in writing maintainable, clean code that stands the test of time, always seeking the most elegant solution to every problem.

Professional Focus

Currently based at Monash University, I specialize in architecting intelligent full-stack applications that leverage robust data pipelines. I am particularly interested in how AI can be integrated into everyday workflows to drive efficiency and actionable insights.

I am a strong advocate for automation; in fact, I often joke that I am 'efficiently lazy'. If a task can be automated, I will find a way to do it, allowing me to focus my energy on high-level strategic engineering and creative problem-solving.

EXPERIENCE

Monash University Malaysia

July 2023 - July 2026

Bachelor of Computer Science (Data Science)

CGPA: 3.86 / 4.0

Boostorder KL

Nov 2025 - Feb 2026 (3 months)

Data Analyst Intern

  • Handling and maintaining Looker dashboards, optimizing performance through documentation reviews.
  • Performing data tally tests and User Acceptance Testing (UAT) to ensure data integrity.
  • Developed custom UAT applications that reduced testing time from 8 hours to just 40 minutes.
  • Built automated data generation scripts using Python and LLMs, replacing manual entry with logical, structured, and beautifully visualized synthetic data.
  • Handling support tickets and customer requests with data-driven insights.

COMPETITIONS & AWARDS

🏆 1st Place – MUM FIT1043 S1 2024 Kaggle Competition

Multi-class music genre classification challenge on Kaggle with over 179 participants. Developed a predictive model using RandomForest and XGBoost, achieving top placement through iterative feature engineering and performance tuning.

Leaderboard →

🏆 1st Place – Monash Codestart Malaysia (S2 2023)

Secured 1st place in the Codestart programming competition. Evaluated on problem-solving, programming logic, and algorithmic efficiency. Led development of a clean, modular solution under timed conditions.

🥉 3rd Place – Monash FIT3080 Pacman Competition (2025)

Reached 3rd place in the FIT3080 Pacman competition involving A* search algorithms. Competed against a cohort of over 200 participants, demonstrating complex algorithmic strategy and rapid debugging.

WORKS

Selected builds

Project casefiles with live screens.

1/8
ProstAPP landing page screenshot from GitHub
01
Final Year Project

ProstAPP

Built a personal FYP prostate cancer risk-assessment web app using a custom machine learning model trained with real-world Malaysian hospital data, alongside patient dashboards, assessment workflows, medical history, education resources, appointment booking, and multilingual support.

Key Result

Integrated React, Express, Supabase, Python XAI services, and Groq-powered LLM explainability features to support model predictions with LIME/SHAP explanations.

ReactViteExpressSupabasePythonGroqLIMESHAP
VIEW SOURCE VIEW PROJECT
1/4
Trendwork job trends dashboard screenshot from GitHub
02
Recent

Trendwork

Advanced Job insight scraper providing market trends and analytics. Implemented complex data engineering pipelines to process and visualize employment data.

Key Result

Leveraged serverless architecture in Google Cloud Platform for scalable data processing and insights demonstration.

PythonPatchRightBigQueryCloud Run FunctionsCloud SchedulerOpenTelemetry
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1/5
SkyRescue AI drone-focused mission view screenshot from GitHub
03
Recent

SkyRescue AI

Built an autonomous multi-drone search-and-rescue simulator with a shared Python simulation core, MCP tools, and a browser-based 3D operator UI.

Key Result

Coordinated drone assignments, hazard-aware routing, thermal scans, battery feasibility, and MCP/LLM mission reasoning in one rescue command console.

PythonFastAPIMCPThree.jsWebSocketsLLM
VIEW SOURCE
1/1
Monash FAQ chatbot screenshot from GitHub
04
July 2025 - August 2025

Monash University FAQ Chatbot

Developed an AI-powered chatbot using Retrieval-Augmented Generation (RAG) to provide students with instant answers from the Monash website. Built a custom web scraper to collect and structure FAQ content for efficient retrieval.

Key Result

Reduced student search time from 30-40 minutes to under 5 minutes.

RAGPlaywrightStreamlitGeminiPython
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0/0

Private build archive

05
March 2025 - May 2025

NutriTrack Health Monitoring

Assembled an AI-powered Android app for health monitoring and personalized nutrition coaching. Automated dietary recommendations and motivational messages using Gemini API.

Key Result

Created a secure and user-friendly health application with full user and admin controls.

KotlinJetpack ComposeRoom DatabaseGemini APIMVVM
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1/2
Blog.co homepage screenshot from GitHub
06
Recent

Blog.Co

Minimalistically blogging application focused on performance and clean writing experience. Built with Next.js and Supabase for a seamless full-stack experience.

Key Result

Produced a high performance and a clean user interface for writers to demonstrate their creativity.

TypeScriptNext.jsSupabaseTailwindshadcn/ui
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1/6
Booklyn product page screenshot from GitHub
07
Recent

Booklyn E-commerce

High-performance modern e-commerce platform for bookstores with Stripe integration and state-of-the-art state management.

Key Result

Produced a comprehensive E-commerce platform from full payment workflow to admin order management.

Next.jsTypeScriptPrismaZustandStripe
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1/1
News Scraper analyzer screenshot from GitHub
08
January 2024 - February 2024

News Scraper & Analyzer

Produced a web application to automatically collect and analyze news from The Star. Features tools to summarize content and perform sentiment analysis.

Key Result

Enabled efficient processing and insight generation from large volumes of news articles.

SeleniumMERN stackFlaskHuggingFace
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SKILLS

Technical
Arsenal

Languages

  • JavaScript
  • Python
  • Java
  • SQL
  • TypeScript
  • Kotlin

Frameworks & Tools

  • React.js
  • Next.js
  • Node.js
  • Express.js
  • Angular
  • MongoDB
  • Firebase
  • GCP
  • Azure

Data & ML

  • Snowflake
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Plotly
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Optuna

Other

  • Web Scraping
  • Full-stack Dev
  • Data Analysis
  • UAT Testing
  • Looker
  • LLM Scripting

Soft
Dynamics

• Proactive Teamwork (Always asking if others need help)

• Eager to Learn & Explore on my own

• "Efficiently Lazy" (High-ROI Automation focus)

• Proactively seeking to add value & take on new challenges

• Creativity driven by curiosity

Design Philosophy

Maintainable
& Extendable

I desire to write good code that isn't just functional, but built to last—easily extendable, clean, and highly maintainable for long-term scalability.

CONTACT

LET'S
CONNECT.

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© 2026 JUSTIN TAN. BUILT WITH NEXT.JS & FRAMER MOTION.