Data Analyst and Engineer with extensive experience in data modeling, interactive dashboard design, data pipeline automation, and statistical evaluation[cite: 1]. Proven track record of turning complex datasets into actionable business intelligence, automating reporting workflows, and building predictive models across engineering and IT. Certified in Microsoft Power BI and proficient in Python, SQL, R.
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• Developed a nutrient loss model to predict nitrogen runoff in oil palm plantations.
• Performed data manipulation, calibration, validation, and evaluation metrics (e.g., R-squared).
• The model predicted nitrogen losses after fertilization during specific dates and times, enabling sustainable agricultural practices.
• Emphasized environmentally protective, economically viable, and socially acceptable fertilizer application strategies by optimizing timing, amount, and type to minimize nutrient losses.
• Tools and technologies: RStudio, Excel
• Received professional training in:
– Practical C Programming for Engineers
– C++ Programming for Engineers
– Querying Relational Databases using SQL
– Computer Architecture, Data Structures, and Algorithms
– Fundamentals of Programming and Problem Solving with Python
• Created a web scraping project using Python to collect and compare the prices of Keysight-like technologies’ products with competitors, mainly focusing on electronic test and measurement equipment. This project aimed to analyze market pricing trends and provide insights for competitive positioning.
• Tools and technologies: Python
• Analyzed datasets from DevOps tools to create detailed analytics and business intelligence insights for the software development lifecycle. This analysis helps identify efficiency bottlenecks and areas for process improvement.
• Developed dashboards providing end-to-end visibility into the software development lifecycle by integrating data from multiple DevOps tools.
• Created dashboards incorporating quality metrics such as Out-of-Box Experience, customer surveys, escalations, and more.
• Conducted testing for database systems supporting software engineering and DevOps tools (e.g., Bitbucket, Jira, Confluence, Artifactory, Jenkins).
• Built, tested, and maintained data pipeline architectures.
• Supported data warehouse initiatives by consolidating data from engineering applications, including Jira (Bugs/Stories), Bitbucket (Pull Requests), and Artifactory (Deployments).
• Extracted, transformed, analyzed, and created reports from Active Directory (AD) data.
• Participated in monthly patching for software engineering tools.
• Identified and resolved bugs and quality issues in software engineering tools.
• Provided support for tools such as GitHub Copilot and Eggplant.
• Collaborated with a global team across the US, UK, Mexico, and India.
• Tools and technologies: Python, PostgreSQL, Power BI
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Achievements
Anugerah Dekan | Universiti Putra Malaysia | 2018- 2021
– Awarded for Dean’s List student for excellent academic performance.
Biasiswa Program Ijazah Dalam Negara, Jabatan Perkhidmatan Awam | 2018
– Granted a scholarship from the Public Service Department Malaysia to pursue undergraduate studies.
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