Binal Shah

Junior Data Analyst

Python, SQL & Data Analytics

I'm a Junior Data Analyst who combines strong Python and SQL skills with proven leadership abilities. At AusBiz Consulting, I built an AI-powered data platform with dual vector databases and automated pipelines. I've trained teams, managed 200+ person events, and created production-quality systems. I'm eager to start my career in data analytics and grow toward data engineering and AI/ML roles.

Technical Skills

Programming Languages
PythonJavaScript/TypeScriptJavaPHP
Data & Analytics
SQLPandasNumPyExcel
Databases
SQLitePostgreSQLMySQLChromaDBUpstashDatabase Design
Web Development
Next.jsReactFlaskTailwind CSSshadcn/ui
Specialized
RAG systemsVector databasesComputer visionAI agent development
Tools
Git/GitHubVS CodeGitHub CopilotClaude SonnetVercelDeputy

Leadership & Soft Skills

Leadership & Team Management
  • •Trained and mentored 6+ new hires
  • •Reduced onboarding time by 40%
  • •Coordinated 13-member volunteer teams
  • •Led event planning for 200+ participants
Technical Communication
  • •Created technical documentation
  • •Trained teams on complex systems
  • •Presented to 200+ audiences
Problem-Solving & Innovation
  • •Pioneered multi-AI development workflow
  • •Created automated testing frameworks
  • •Reduced onboarding time by 40%

Featured Projects

Building innovative solutions with modern technologies

My Digital Twin - AI-Powered Professional Platform
Production-quality AI platform demonstrating modern RAG architecture, vector database optimization, and AI-assisted development workflows.

Technologies

Next.js 15React 19PythonChromaDBUpstashVector EmbeddingsVercel AI SDKClaude Sonnet 4.0GitHub Copilotv0MCP Protocolshadcn/uiTailwind CSS

Key Achievements

  • •Engineered sophisticated data transformation pipeline processing structured resume data into 50+ semantic chunks with metadata tagging
  • •Implemented dual-vector database architecture: ChromaDB for local development + Upstash serverless vector DB for production deployment
  • •Built RAG system using vector similarity search with cosine similarity matching, enabling natural language queries with contextually accurate responses
Smart Attendance System - Computer Vision Capstone
Comprehensive database-driven attendance analytics platform with computer vision integration, built entirely independently from system design to deployment.

Technologies

Python 3.8+FlaskSQLiteface_recognition libraryFlask-SQLAlchemyNumPyPillowPandasWerkzeugFlask-CORSHTML/CSS

Key Achievements

  • •Architected normalized relational database schema (SQLite) with 5+ interconnected tables following Third Normal Form (3NF)
  • •Designed three-tier role-based access control system with completely differentiated user experiences (Admin/Teacher/Student)
  • •Integrated computer vision pipeline using face_recognition library with 128-dimensional facial encoding, reducing manual entry time by 90%

Work Experience

AI/Data Intern
AusBiz Consulting • Sydney
Jul 2025 - Sep 2025

Developed AI-powered Digital Twin platform using cutting-edge spec-driven development methodology combining GitHub Copilot, Claude Sonnet 4.0, and v0 for an integrated AI-assisted workflow.

Key Achievements

  • ✓Architected and deployed dual-vector database system (ChromaDB for local development + Upstash for production) handling vector embeddings with optimized retrieval performance
  • ✓Engineered automated data transformation pipeline converting unstructured resume text into 50+ searchable JSON chunks with semantic embeddings for intelligent querying
  • ✓Built production-grade RAG (Retrieval-Augmented Generation) system enabling natural language queries against professional profile data with context-aware responses
  • ✓Implemented continuous integration testing framework using custom Food RAG validation system to ensure 95%+ query accuracy
  • ✓Developed modern web application using Next.js 15 App Router, React 19 Server Components, and Vercel AI SDK for seamless AI integration
  • ✓Pioneered multi-AI tool development workflow: GitHub Copilot for code generation, Claude Sonnet 4.0 agent mode for architecture decisions, v0 for UI/UX rapid prototyping
Administrative Assistant
Abel Tasman Village Association Ltd • Sydney
Mar 2024 - Jan 2025

Managed front-desk operations and administrative support in aged care facility, ensuring efficient daily operations and high-quality resident care coordination.

Key Achievements

  • ✓Managed front-desk operations including reception, scheduling, and responding to daily inquiries
  • ✓Handled and maintained 5+ appointments weekly with accuracy using internal systems
  • ✓Assisted with documentation, filing, and record-keeping in compliance with data privacy standards
  • ✓Responded to resident and family inquiries via phone and email with professionalism and care
  • ✓Supported management and visiting professionals with scheduling and logistical coordination
Assistant Manager
Zeus Street Greek • Sydney
Dec 2022 - Dec 2025

Supervised daily operations and staff management in high-volume food service environment, ensuring exceptional customer service and operational excellence.

Key Achievements

  • ✓Supervised 5-10 staff, ensuring smooth daily operations and consistent customer satisfaction
  • ✓Delivered excellent service during high-volume hours, handling $3,000+ daily transactions
  • ✓Managed staff timesheets and coordinated scheduling
  • ✓Upsold products and recommended add-ons to enhance customer experience
  • ✓Recognised by management for reliability, teamwork, and leadership during peak trading periods
  • ✓Supported visual merchandising and store presentation to maintain a clean, organized, and customer-friendly environment
  • ✓Experienced in unpacking stock deliveries, organizing back-of-house areas, and replenishing shelves

Education

Bachelor of Information Technology
Victoria University • Sydney
September 2025

Field: Information Technology

Relevant Coursework

Web & Mobile DevelopmentCloud Application DevelopmentData Analytics for Cyber SecurityBig DataICT Business AnalyticsCyber Security Essentials (TCP/IP, DNS, DHCP)

Let's Work Together

I'm currently seeking opportunities as a Junior Data Analyst. Feel free to reach out if you'd like to discuss how I can contribute to your team.

📍 Melbourne, Victoria