Senior Data Analyst | Microsoft Fabric Solutions Architect (DP-600 & DP-700)

The best time to plant a tree was 20 years ago the second best time is now. - Chinese proverb

🧾 Profile Summary

I am a Senior Data Analyst with a background in Chemical & Reliability Engineering, specializing in building high-integrity, multi-cloud data solutions. As a triple-certified professional in AWS AI and Microsoft Fabric (DP-600 & DP-700), I bridge the gap between industrial reliability and modern cloud architecture—transforming raw ingestion into high-performance, AI-augmented semantic models.

⚡ Expertise: Microsoft Fabric (Lakehouse, Warehouse, DirectLake, Semantic Modeling), Python, SQL, DAX, PySpark, Power BI, GenAI Implementation.
📍 Interests: End-to-End Data Architecture, Predictive Maintenance, Algorithm Optimization, Marathons! 🏃‍♂️

💼 Working Experience

Senior Data Analyst @ PerkinElmer

📅 November 2025 – Present

• Global Sourcing Optimization (GSO): Leading the data architecture for the GSO project, driving $24.01M in identified savings through automated tracking and procurement optimization.
• AI-Driven Workflow Automation: Engineered an automated system for weekly data compilation and AI-augmented analysis of Past Due POs. The system generates actionable “next steps” for buyers, reducing managerial manual drafting time by 95%.
• End-to-End Fabric Implementation: Architecting comprehensive pipelines in Microsoft Fabric, spanning from Data Factory ingestion to optimized Power BI semantic models for global supply chain and R&D.
• Medallion Architecture Mastery: Implementing Lakehouse and Warehouse structures to centralize global data, utilizing T-SQL and PySpark to ensure data is “analytics-ready” for business stakeholders.
• Automation & GenAI: Automating ETL workflows using Python and Gemini CLI; integrating Asana API and SAP BusinessObjects data to eliminate manual reporting.

Data Science Engineer @ Coherent Corp

📅 September 2024 – November 2025

• Developed enterprise-wide Power BI dashboards to monitor OEE, reducing manual reporting time by 60%.
• Designed scalable ETL pipelines using Python, SQL, and PySpark, cutting data processing time by 50%.
• Optimized SQL Server queries, slashing execution time by 97%.
• Mentored interns on building Streamlit apps for automated performance monitoring.

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Reliability Engineer @ Jacobs Douwe Egberts

📅 October 2022 – September 2024

• Created real-time KPI dashboards with Power BI for machine reliability tracking.
• Analyzed 25,000+ rows of raw data in one day to generate actionable insights for suppliers.
• Led 5+ global coaching sessions on Microsoft 365 AI tools.
• Designed master data structures for predictive maintenance strategies.
• Reduced dehumidifier leakage by 80% with custom monitoring systems.

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🎓 Education

• MSc in Data Science (ODL) | Universiti Teknologi PETRONAS
  📅 May 2024 – Sep 2025
  CGPA: 3.91 / 4.00
  Thesis: Development of Machine Learning Models for Failure Prediction in Oil & Gas Rotating Equipment
  • One of the Postgraduate Awards receipients in MSc Data Science
• BEng in Chemical Engineering (Hons) | Universiti Sains Malaysia
  📅 Sep 2018 – Aug 2022
  CGPA: 3.90 / 4.00
  • Book Prize Recipient – School of Chemical Engineering
  • Top 10 Final Year Project & Best Plant Design Team

📍 Featured Projects

🧠 Development of Machine Learning Models for Failure Prediction in Oil & Gas Rotating Equipment

Developed multi-sensor ML models to predict failures in refinery rotating equipment. Achieved 99.9% accuracy with Random Forest, demonstrating robust feature engineering.

🏃‍♂️ Garmin Analytic & Performance Dashboard

Interactive web dashboard analyzing health & performance metrics (pace, HR, GPS) from Garmin/Strava exports using Streamlit.

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🧠 Skills & Tools

• Fabric Ecosystem: OneLake, Lakehouse/Warehouse, Data Factory, Dataflows Gen2, Advanced Semantic Modeling (DirectLake), Deployment Pipelines, Spark Notebooks.
• Languages: Python (Expert), SQL (T-SQL/Spark SQL), DAX (Advanced), R, PySpark, VBA.
• AI/ML: GenAI Adoption, LLM Prompt Engineering, NotebookLM, Scikit-Learn.
• Certifications:
  • AWS Certified: AI Practitioner 🎓 (Score: 833)
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) 🎓 (Score: 884)
  • Microsoft Certified: Fabric Data Engineer Associate (DP-700) 🎓
  • CS50 Python, R & SQL – Harvard University
  • Snowflake ETL Mastery

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🏅 Awards & Recognition

• 🏆 Postgraduate Award – MSc Data Science (UTP)
• 🎖️ 5th Place – SEA-GIC 2020 (58 teams, Southeast Asia)
• 📚 Book Prize – School of Chemical Engineering (USM)
• 🏆 Best Final Year Plant Design Team (USM)

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🎤 Presentations

• IChemE Workshop – Exploring Data Analytic Through Excel
  📍 University of Nottingham Malaysia, March 2024