{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Data Analyst","company":"Adero Law","location":"Canberra, ACT","range":"August 2025 - Present","url":"https://aderolaw.com.au","type":"Full Time"},"html":"<p>At Adero Law, I design and engineer forensic analytics systems used in large-scale employment and wage compliance investigations. My work sits at the intersection of <strong>data engineering, legal modelling, and financial analysis</strong>, translating complex employment legislation and historical workforce data into structured analytical frameworks that can withstand legal scrutiny.</p>\n<p>I build reproducible analytical pipelines that integrate payroll systems, timesheets, rosters, employment contracts, and leave records to reconstruct historical employment conditions and evaluate compliance with Australian industrial awards.</p>\n<p><strong>Key Contributions</strong></p>\n<ul>\n<li>Designed and implemented Python-based forensic analytics frameworks capable of analysing <strong>millions of payroll, roster, and timesheet records across multi-year employment histories</strong>.</li>\n<li>Built programmatic models implementing <strong>20+ award clauses, penalty rules, overtime structures, and entitlement conditions</strong>, translating complex legal language into deterministic computational logic.</li>\n<li>Engineered end-to-end analytical pipelines that combine <strong>payroll, HR, roster, and leave datasets</strong> into unified, audit-ready analytical environments.</li>\n<li>Developed automated entitlement calculation engines capable of reconstructing historical employment conditions across <strong>hundreds of employees and thousands of pay periods</strong>.</li>\n<li>Built reconciliation systems comparing <strong>actual payroll payments against award-based entitlements</strong>, enabling identification of potential underpayments and compliance discrepancies.</li>\n<li>Implemented multi-layer data validation frameworks, including <strong>cross-dataset reconciliation, anomaly detection, and integrity checks</strong>, significantly improving analytical reliability.</li>\n<li>Created structured reporting systems and reproducible analytical outputs used by lawyers and analysts in case preparation and legal investigations.</li>\n<li>Engineered automation workflows that reduced previously manual financial analysis processes into <strong>fully reproducible, scalable Python pipelines</strong>.</li>\n<li>Collaborated closely with legal teams to validate modelling assumptions, interpret analytical outputs, and explain complex findings in a defensible, evidence-ready format.</li>\n<li>Maintained extensive documentation and version-controlled analytical workflows to ensure <strong>traceability, transparency, and reproducibility of analytical results</strong>.</li>\n</ul>\n<p>This work requires a combination of <strong>data engineering, analytical modelling, and regulatory interpretation</strong>, where analytical outputs must be transparent, explainable, and defensible under external scrutiny.</p>"}},{"node":{"frontmatter":{"title":"Data Analyst","company":"Feuer Property","location":"Sydney, NSW","range":"April 2025 - June 2025","url":null,"type":"Contract"},"html":"<p>At Feuer Property, I built analytical systems used to monitor portfolio performance, forecast occupancy trends, and support commercial decision-making across residential and mixed-use property assets.</p>\n<p><strong>Key Contributions</strong></p>\n<ul>\n<li>Developed forecasting models analysing <strong>historical occupancy, pricing, and demand data across multiple properties</strong>, improving prediction accuracy by approximately <strong>20%</strong>.</li>\n<li>Built automated SQL pipelines to process <strong>daily property performance metrics</strong>, eliminating manual reporting processes.</li>\n<li>Designed interactive <strong>Tableau dashboards used by leadership and marketing teams</strong> to track occupancy, pricing performance, and campaign ROI.</li>\n<li>Analysed large operational datasets to identify <strong>pricing optimisation opportunities and revenue drivers</strong> across multiple property portfolios.</li>\n<li>Automated campaign performance tracking, enabling faster evaluation of marketing spend effectiveness.</li>\n<li>Reduced reporting turnaround time from <strong>hours of manual work to automated daily updates</strong> through structured reporting workflows.</li>\n</ul>\n<p>This role strengthened my ability to translate analytics directly into <strong>commercial insights that influence pricing, investment decisions, and operational strategy.</strong></p>"}},{"node":{"frontmatter":{"title":"Data Analyst","company":"UKO","location":"Sydney, NSW","range":"April 2024 - July 2024","url":"https://uko.com.au/","type":"Contract"},"html":"<p>At UKO, I worked on large-scale property and operational datasets to improve reporting visibility and business performance monitoring across co-living property portfolios.</p>\n<p><strong>Key Contributions</strong></p>\n<ul>\n<li>Analysed <strong>32 operational and property datasets</strong>, identifying trends and operational patterns linked to occupancy performance.</li>\n<li>Built structured analytical reports and dashboards enabling leadership to monitor <strong>portfolio-wide KPIs and operational performance</strong>.</li>\n<li>Led the migration of asset data into a new management platform, reducing processing delays and improving data consistency across teams.</li>\n<li>Designed automated reporting systems integrating multiple data sources, enabling <strong>near real-time performance visibility for property managers and executives</strong>.</li>\n<li>Streamlined ad-hoc reporting requests by building standardised analytical templates and automated reporting workflows.</li>\n</ul>\n<p>This role strengthened my experience working with <strong>fragmented operational data and building unified analytical systems for business decision-making.</strong></p>"}},{"node":{"frontmatter":{"title":"House Manager","company":"UME","location":"Sydney, NSW","range":"September 2023 - April 2025","url":"https://ume.com.au/","type":"Part Time"},"html":"<p>As a House Manager at UME, I managed the day-to-day operations and resident experience across co-living properties housing <strong>dozens of tenants simultaneously</strong>.</p>\n<p><strong>Key Responsibilities and Contributions</strong></p>\n<ul>\n<li>Conducted onboarding and orientation for new residents, explaining building facilities, shared space guidelines, and community policies.</li>\n<li>Maintained the cleanliness and presentation of communal spaces including kitchens, laundry areas, and rooftops.</li>\n<li>Managed daily operational tasks such as waste handling, amenity checks, and property inspections.</li>\n<li>Monitored building security by securing shared spaces after hours and reporting incidents when necessary.</li>\n<li>Coordinated maintenance reporting and completed minor repairs to minimise operational disruptions.</li>\n<li>Served as the primary on-site contact between residents and property management, resolving issues quickly and maintaining a positive living environment.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Manager","company":"Sydney Central Backpackers","location":"Sydney, NSW","range":"September 2023 - March 2024","url":"https://sydneybackpackers.com.au/","type":"Part Time"},"html":"<p>At Sydney Central Backpackers, I supported operational management across staffing, inventory control, and daily business performance in a high-volume hospitality environment.</p>\n<p><strong>Key Contributions</strong></p>\n<ul>\n<li>Managed staff scheduling and shift allocation across multiple teams, balancing service coverage and labour cost efficiency.</li>\n<li>Oversaw food and operational inventory, implementing tracking processes that reduced supply shortages and waste.</li>\n<li>Monitored daily operational metrics including occupancy trends, cost controls, and pricing adjustments.</li>\n<li>Maintained operational logs and financial records to support business reporting and internal oversight.</li>\n<li>Assisted ownership with financial reconciliation and operational reviews, identifying discrepancies in cash handling processes.</li>\n<li>Through detailed transaction review and CCTV analysis, helped identify repeated irregularities in cash management that led to the discovery of internal theft.</li>\n</ul>\n<p>This role strengthened my operational accountability, investigative thinking, and attention to detail in real-world business environments.</p>"}},{"node":{"frontmatter":{"title":"iOS Developer Intern","company":"WeHear","location":"Ahmedabad, Gujarat, India","range":"July 2020 - August 2020","url":"https://wehear.in/","type":"Internship"},"html":"<p>At WeHear, I worked on an iOS companion application designed to integrate with bone conduction earphones, combining mobile development with hardware interaction and user experience design.</p>\n<p><strong>Key Contributions</strong></p>\n<ul>\n<li>Contributed to the development of a mobile dashboard used to control and monitor device features.</li>\n<li>Implemented key UI components and device interaction logic within the iOS application.</li>\n<li>Worked alongside hardware engineers and QA teams to ensure reliable feature integration between the mobile application and the physical product.</li>\n<li>Contributed to user interface improvements that enhanced usability and product experience.</li>\n</ul>"}}]}}}