Data Analyst with 1+ years in ETL Pipelines & Power BI
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Results-driven Data Analyst with 1+ year of hands-on experience designing automated data pipelines, building business intelligence dashboards, and delivering end-to-end analytics solutions for Australian clients. Proficient in SQL, Python, Power BI, and n8n-based ETL pipelines, with a proven track record of integrating Jira, Tempo, and CRM data into centralised PostgreSQL warehouses. Delivered real-time dashboards that eliminated manual data collection, improving operational visibility across distributed teams. Currently pursuing a BSc in Data Science and actively seeking remote Data Analyst or Power BI Developer roles.
London Metropolitan University
BSc in Data Science · Data Science
August 1, 2025 – Present
Coventry University
Higher National Diploma in Data Science · Data Science
October 1, 2023 – October 1, 2024
Sri Lanka Institute of Advanced Technology Education (SLIATE)
Higher National Diploma in Information Technology · Information Technology
August 1, 2019 – September 1, 2021
London Business School
Diploma in Artificial Intelligence · Artificial Intelligence
N/A – June 30, 2025
i4TLabs Pty Ltd
Associate Data Analyst
January 1, 2026 – Present
Colombo, Western Province, Sri Lanka
i4TLabs Pty Ltd
Data Analyst Intern
January 1, 2025 – December 1, 2025
Australia
Jira & Tempo Real-Time Analytics Platform
June 24, 2026 – Present
Architected and implemented a fully automated ETL pipeline using n8n to extract data from Jira and Tempo REST APIs, transform and load it into a PostgreSQL data warehouse, and surface live insights via Power BI dashboards. Runs on scheduled triggers and continuously refreshes project status, worklog, delivery risk, and team productivity data. Eliminated manual data collection across 5+ concurrent projects, giving delivery and management teams instant visibility into live project health and pending risks.
Android Malware Detection Platform
June 24, 2026 – Present
Designed and built a full-stack machine learning system for mobile security threat detection. Built an APK feature extraction pipeline on the backend, trained and evaluated classification models (Random Forest, XGBoost) achieving 94%+ detection accuracy, and exposed the model through a REST API. Developed a web application and Android mobile app allowing users to upload APKs and receive real-time malware risk predictions. Demonstrates end-to-end ML engineering across data, model, API, and UI layers.
OLTCO - End-to-End Power BI Field Service Management Dashboard
June 24, 2026 – Present
Designed and developed a multi-page Power BI Business Intelligence dashboard for OLTCO, the UK's leading resin-bound driveway specialist. Connected directly to a Google Cloud MariaDB (MySQL) server using optimised SQL master queries. Built a star schema data model with dimension table relationships for global slicer design, and authored DAX measures for KPI reporting across 9 dashboard pages covering Leads, Revenue, Marketing, Jobs, and Site Visits. Delivered in Import Mode with multi-page BI reporting structure, giving management a single real-time view of the full customer journey from lead generation through to regional profitability.Tech stack: Power BI, MySQL / MariaDB, SQLyog, DAX Measures, Star Schema Data Modelling, Google Cloud Database, Global Slicer Design, KPI Reporting, Import Mode, Multi-page BI Reporting.
Microsoft PL-300 Power BI Data Analyst Associate certification
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from real-time analytics platforms for project management to field service management dashboards and even an academic project on Android malware detection, indicates a broad interest and adaptability. Their experience with both internal and client-facing projects, and their active pursuit of further education and certifications, suggests a proactive and growth-oriented mindset. The target role of Data Analyst aligns well with their demonstrated skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills through their project descriptions, particularly in automating data processes and delivering actionable insights. Their experience in stakeholder communication and technical documentation, as mentioned in their resume, suggests good operational fit for collaborative environments. Participation in code reviews indicates a commitment to quality and team collaboration.