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Data Analyst with 3+ years in data warehousing, BI reporting & ETL development
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Assessing your cultural and operational fit
Data Analyst with 3+ years of experience in enterprise data warehousing, BI reporting, and ETL development, complemented by a Master of Data Science from RMIT University. Strong in SQL, Power BI, Tableau, Excel, and Python, with a proven record of building data models, automating reporting pipelines, and translating business requirements into reliable, decision-ready insights. Recently delivered production-grade analytics and AI projects end to end, from data ingestion and quality validation through to automated evaluation and stakeholder-facing dashboards.
RMIT University
Master of Data Science · Data Science
July 1, 2023 – June 1, 2025
Jain University
Bachelor of Technology · Information Science
August 1, 2015 – August 1, 2019
Focus Bear Pty Ltd
Machine Learning Intern
March 1, 2025 – June 1, 2025
Melbourne, Victoria, Australia
Coles
Team Supervisor
June 1, 2023 – Present
Melbourne, Victoria, Australia
Tech Mahindra
Software Engineer (SAP BW on HANA)
December 1, 2019 – April 1, 2023
India
Production RAG System for Australian Tax Returns
January 1, 2026 – Present
Hybrid search and LLM pipeline over official ATO guidance • Engineered a production-grade Retrieval-Augmented Generation (RAG) system over 9,673 chunks ingested from 1,000+ official ATO documents, using OpenAI embeddings and a persistent ChromaDB vector store to deliver grounded, citation-backed answers to individual tax questions. • Implemented hybrid retrieval combining semantic vector search with BM25 keyword search and Cohere cross-encoder reranking, improving retrieval precision and enforcing citation-grounded responses to eliminate hallucinations. • Built an automated evaluation pipeline against a curated golden dataset measuring faithfulness, answer relevancy, and source coverage, integrated as a CI quality gate that blocks regressions below threshold, achieving an overall evaluation score of 0.91. • Developed a FastAPI backend and responsive web interface for real-time querying, with a parallelised ingestion pipeline using GPT-40-mini for cost-efficient, low-latency answer generation.
Voice-Enabled RAG Assistant
December 1, 2025 – Present
• Built a voice-interactive RAG system that reads PDFs, answers user queries, and generates audio responses, using Google Gemini for contextual generation and FastEmbed with Qdrant for high-speed vector search and document-level filtering. • Designed a Streamlit interface with multi-document support, metadata indexing, and batch embeddings, delivering an end-to-end AI pipeline built entirely on free, open-source tools.
Automated Time Tracking and Reporting System
August 1, 2025 – Present
• Designed a time tracking and reporting system with n8n, SQLite, and timezone-aware scheduling, modelling raw events into daily and weekly summary tables with automated business-rule adjustments. • Integrated Gemini AI to translate natural language questions into real-time SQL queries, creating a conversational copilot for timesheet insights, with weekly reports delivered automatically via email. • Deployed on a Dockerised instance with persistent volumes, authentication, and restart policies for production-style reliability.
Equal Eyes: AI Bias Detection System
July 1, 2024 – October 1, 2024
• Led a team of 5 to build a BERT-based NLP system detecting gender and social bias in text with 79% accuracy, including a comparative analysis of Word2Vec versus BERT embeddings. • Delivered a Flask web application with ChatGPT API integration for real-time inclusive language rephrasing, applying dataset balancing, encoding, and standardisation to improve model fairness.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from enterprise data warehousing to advanced AI/ML systems, indicates adaptability and a strong drive for continuous learning. Their academic background in Data Science combined with practical experience in both traditional data engineering and modern AI suggests a well-rounded individual. The personal projects demonstrate initiative and a passion for applying data science concepts to real-world problems, which aligns well with an innovative and growth-oriented culture. The experience as a Team Supervisor also shows an ability to work in a customer-facing, team-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, as evidenced by preventing gift card fraud and automating data archiving analysis. Their experience as a Team Supervisor at Coles suggests leadership, communication, and operational management abilities. The project descriptions highlight a proactive approach to building production-grade systems and an understanding of CI/CD principles for quality assurance. Collaboration with cross-functional teams is also noted in their Tech Mahindra role.