The Department of Statistics Malaysia (DOSM) is leading the development of a comprehensive database for the informal sector and micro industries (SIIM) to collect and manage data on informal sector individuals and businesses. 
The MySPC project is about Malaysia Social Protection Council (Majlis Perlindungan Sosial Malaysia), which aims to provide social protection for citizens through various measures to address economic, social, and environmental risks, ensuring their well-being throughout their lives. The social protection structure is organized around four main elements: protection, prevention, promotion, and transformation. The social protection in Malaysia is divided into three main tiers: Social Assistance, Social Insurance, and Labor Market Intervention. 
A structured health status for all connection, automation, monitoring projects within my purview. 
The backbone of effective governance. OpenDOSM is a platform that catalogs, analyzes, and visualizes Malaysia’s data, providing free access to various types of data. OpenDOSM NextGen, an upgrade of the platform, aims to support the government’s data infrastructure and contribute to data-driven innovation in service delivery.
Malaysia centralized database, named PADU, that integrates individual and household information from various government agencies.
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Hands-on course on managing social-protection data, organised by MySPC.
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Sharing session on the Kawasanku and MyCenDash dashboards at a JAS workshop.
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Session to improve understanding and use of the statistics released on OpenDOSM Next Gen and Kawasanku, for the GIS Department of the Royal Malaysia Police.
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Open Data session of the Malaysia Data Innovation Talent (MDIT) x DOSM Datathon 2023 workshop, run in hybrid format.
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Pre-development meeting for the National Entrepreneur Repository (RUN), with KUSKOP, covering SIIM and PADU.
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Virtual session on statistical tools and methods for academic research.
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Industry guest lecture on statistical applications in computing and data science.
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Academic visit by UKM FSSK, introducing OpenDOSM NextGen and data innovations for national statistics.
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Session on data analysis methods for economics and management students.
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Beginner Python class (Level 1). Open-source materials: github.com/booluckgmie/training.
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Judge at Data Challenge 5.0, a national competition run by the UKM Statistics Club.
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Talk on what employers look for in candidates, for the Technology Talent Engagement programme of Alumni Peneraju.