Profile

Data Scientist with hands-on experience deploying machine learning solutions in healthcare industry. Experienced in MLflow-based experiment tracking and model lifecycle management, FastAPI inference services, automated ETL pipelines, production monitoring, API testing, Git-based workflows, and Linux deployment. Familiar with Databricks, monitoring, CI/CD and infrastructure experience through production personal projects and self-hosted systems.

Technical Skills
Machine Learning: Python, MLflow|Data & Platform: NoSQL, SQL, Databricks, MSSQL, Elasticsearch, PostgreSQL, Supabase|APIs: FastAPI, Flask|DevOps & Deployment: Git, GitHub Actions, Docker, Linux|Analytics & Visualisation: Kibana, Qlik Sense, Tableau, Power BI, Looker Studio, Metabase|Infrastructure: Proxmox, Digital Ocean, Tencent Cloud, VPN tunnelling, self-hosted homelab
Professional Experience
Data Scientist, LifeCare Diagnostic Medical Centre
April 2025 – present | Bangsar South
  • •Developed end-to-end, healthcare prediction models using Python and machine learning techniques, achieving more than 80% accuracy for the models
  • •Implemented MLOps workflows for experiment tracking, model versioning, artifact management and model lifecycle management.
  • •Developed and deployed model inference services to integrate machine learning outputs with internal healthcare applications, improving prediction traceability and reproducibility.
  • •Built and maintained automated clinical data pipelines between relational and NoSQL systems, incorporating validation, retry mechanisms, deduplication and structured logging.
  • •Implemented automated API testing to validate inference behaviour, response structures and deployment reliability.
  • •Developed production monitoring dashboards to track model performance, prediction quality, data quality and operational indicators.
  • •Enhanced internal healthcare analytics applications by improving model transparency, logging, output reliability and feedback traceability.
  • •Automated 13+ financial and operational reporting workflows, reducing manual processing time.
  • •Designed and delivered 10+ analytical dashboards for clinical, operational, financial and management teams, supporting KPI monitoring, trend analysis and business decision-making.
  • Data Analyst Intern, Decathlon Malaysia
    August 2024 – December 2024 | Petaling Jaya
  • •Developed and enhanced business intelligence dashboards to support KPI monitoring and business performance analysis across Malaysia and Singapore.
  • •Supported daily data workflows and ETL processes used for analytics and reporting.
  • •Contributed to customer, loyalty, fraud, KPI and store performance analyses using SQL and data analytics tools.
  • •Prepared analytical reports and presentations to communicate insights and support management decision-making.
  • •Collaborated with commercial, data and regional teams on ad hoc analysis, data validation and business reporting requirements.
  • Education
    Master of Science in Applied Statistics, Universiti Teknologi MARA
    March 2026 – Present | Shah Alam
  • •Part time student: learning Advanced Multivariate Analysis, Frequentist & Bayesian Statistics, and Statistical Programming and Computing (R Language), Applied Statistical Modeling, Statistical Data Mining
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    Bootcamp Full Stack Web Dev, AI Engineer, Gamuda AI Academy
    January 2025 – March 2025 | Petaling Jaya
  • •Completed an intensive AI and full-stack development bootcamp focused on building and deploying practical web and AI applications.
  • •Developed responsive web applications using Vuetify, Python, and FastAPI, covering both frontend and backend development.
  • •Used Google Cloud Platform services, including Firebase, Firestore, Cloud Functions, Cloud Run, Vertex AI Studio, and BigQuery, to deploy applications and manage cloud-based workloads.
  • •Designed and worked with PostgreSQL, MongoDB, and Firestore databases for application development, data storage, and retrieval.
  • •Built Retrieval-Augmented Generation applications using Google Gemini and explored the use of generative AI for knowledge retrieval and task automation.
  • •Capstone Project: Developed a web application integrated with AI agents to support employee productivity, automate routine tasks, and improve team engagement.
  • Bachelor of Information Technology, UITM
    October 2021 – February 2025 | Arau, Perlis
  • •CGPA: 3.83 (for 7 semesters)
  • •Final Year Project: Sentiment Analysis with Data Visualization using Power BI (Won 2nd Best Project)
  • •Relevant Coursework: Data Mining, Web Development, Database Management
  • •Received Vice Chancellor's Award for maintaining GPA above 3.5 for 6 semesters
  • Social Science (STPM), SMK Gombak Setia
    July 2019 – March 2021 | Gombak
  • •3.75 CGPA
  • •Studied Economy, Business, Information Technology subjects
  • Selected Projects
    Self-Hosted Homelab & Linux Services, Personal Infrastructure
  • •Deployed Docker-based personal applications on Linux servers for study, hobby, ebook and media use; configured Nginx, Cloudflare Tunnel, SSH, HTTPS certificates (Let's Encrypt) and environment-based secrets.
  • •Built and managed a Proxmox-based homelab and VPN tunnelling through Tencent Cloud, gaining practical experience in networking, service exposure, remote access and infrastructure troubleshooting.
  • September 2025
  • •Web to find nearest night market and "Bazar Ramadan"
  • •5,000-7,000 monthly visitors
  • - More projects in my notion portfolio⁠ (˶ᵔ ᵕ ᵔ˶)

    Leadership
    Bachelor in IT Society (BITS), President
    October 2023 – September 2024 | UiTM Arau
  • •Organized 14 successful events in two semester, including Career Talks, Game Nights, Volunteering activities, Industry Visits, and Sports Day, engaging over 1000 participants.
  • •Led and managed a team of 40 committee members, coordinating tasks and ensuring smooth execution of all society events.
  • •Improved event participation by 30% through effective promotion and strategic planning.
  • •Designed promotional materials such as event posters, official BITS T-shirts, and lanyards as Exco of Multimedia, enhancing brand visibility and member engagement
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