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MAS Holdings is South Asia’s largest apparel and textile manufacturer, operating in 17 countries with over 118,000 employees worldwide. The company is globally recognized for its innovation, sustainability, and ethical practices, serving leading international fashion and retail brands. Designed and maintained Python-based data pipelines to support data extraction, cleansing, and harmonization for Trade Management reporting and analytics. Built clear and scalable reports, dashboards, and visualization interfaces, enabling stakeholders to monitor performance, utilization metrics, and operational trends. Implemented robust data validation and quality checks, ensuring accurate and reliable inputs for analyses, management reporting, and decision-making. Collaborated with international, cross-functional teams to resolve data issues, enhance data availability, and support project-related analytical requirements. Developed reusable analytical assets, documentation, and structured data models to strengthen data lineage, governance, and transparency across reporting workflows. Supported end-to-end analytical processes, including exploratory analysis, insight generation, and preparing datasets for management summaries, board documents, and performance monitoring.

As a data analyst, focused on transforming business questions into analytical workflows, conducting exploratory data analysis (EDA), and generating insights to improve operational and financial performance. Processed and analyzed large datasets using Python and SQL, applying EDA and statistical testing to identify trends and inefficiencies. Built and automated Power BI dashboards with DAX and advanced data models, improving real-time decision-making across departments. Developed clear analytical workflows (data lineage, flow mappings, specifications) to support reproducible experimentation and strong data governance. Implemented data validation checks and improved dataset structures to ensure high-quality, reliable inputs for forecasting and analytical models. Supported experimentation by preparing metrics, segmenting data, and conducting A/B tests, communicating insights through concise visual reports.

Dialog Axiata is Sri Lanka’s largest telecommunications service provider, serving millions of customers nationwide. The company is a leader in mobile, broadband, and digital services, recognized for driving innovation and advancing Sri Lanka’s digital transformation. Analyzed large-scale financial and operational datasets to identify irregular patterns, improve revenue and spend visibility, and support more accurate CapEx forecasting, AR-related risk assessment, and FP&A reporting for senior leadership. Developed and evaluated an unsupervised K-Means model to detect unusual spending and accrual patterns, strengthening monthly KPI reviews, anomaly detection, and data-driven financial controls. Engineered automated SAP financial data extraction workflows, ensuring reproducible and timely access to month-end data, improving data quality, reconciliation accuracy, and the reliability of finance KPI packs.