I am a Data Science and Analytics undergraduate at the National University of Singapore, with strong foundations in Python, SQL, machine learning, and data visualization, and hands-on experience across data engineering, …
I am a Data Science and Analytics undergraduate at the National University of Singapore, with strong foundations in Python, SQL, machine learning, and data visualization, and hands-on experience across data engineering, analytics, and dashboard development.
Through internships at Infineon, Kuok Group, and ST Engineering, I’ve worked on building and maintaining ETL pipelines, developing interactive dashboards (Power BI, Tableau), and supporting data-driven decision-making in operational and business contexts. My work includes integrating data using Python and SQL, ensuring data quality and reliability, and applying analytics techniques for forecasting, defect classification, and performance evaluation.
I have also completed projects involving machine learning, optimization, and deep learning, such as portfolio optimization using risk-adjusted metrics and deepfake detection using CNNs. These experiences have strengthened my ability to translate complex data into clear insights for both technical and non-technical stakeholders.
Overall, I bring a balance of technical rigor, practical industry experience, and strong collaboration skills, and I’m motivated to contribute in fast-paced environments where data and technology drive real impact.
Maintained and supported ETL pipelines for polytechnic dashboards using SMSS and Informatica to ensure timely and accurate data delivery.
Analyzed feasibility and requirements for migrating existing PET dashboard to the PFP dashboard, including data flow evaluation and system dependencies.
Conducted data quality management by identifying inconsistencies, validating fields, and reconciling data across multiple sources to ensure reliability for reporting and analysis.
Maintained and supported ETL pipelines for polytechnic dashboards using SMSS and Informatica to ensure timely and accurate data delivery. Analyzed feasibility and requirements for migrating existing PET dashboard to the PFP dashboard, including data flow evaluation and system dependencies. Conducted data quality management by identifying inconsistencies, validating fields, and reconciling data across multiple sources to ensure reliability for reporting and analysis.
Developed a metrics dashboard with data ingestion pipelines using Tableau Prep Builder and Python/SQL, enabling users to visualize key KPIs and apply custom DEA targets.
Maintained and optimized ETL processes to ensure reliable, timely, and high-quality data flow for analytics and reporting.
Built a confusion matrix in KNIME for internal quality evaluation and defect classification.
Performed kink-detection analytics using Excel pivot tables to differentiate high-quality products from defective ones and support quality assurance decisions.
Developed a metrics dashboard with data ingestion pipelines using Tableau Prep Builder and Python/SQL, enabling users to visualize key KPIs and apply custom DEA targets. Maintained and optimized ETL processes to ensure reliable, timely, and high-quality data flow for analytics and reporting. Built a confusion matrix in KNIME for internal quality evaluation and defect classification. Performed kink-detection analytics using Excel pivot tables to differentiate high-quality products from defective ones and support quality assurance decisions.
Designed data structures and dashboards on Power BI to support analytics, enabling data-driven decision-making for optimal workforce distribution.
Built predictive models to forecast manpower needs, improving resource planning and operational efficiency.
Designed and promoted interactive visualisations, enhancing user adoption and engagement with key insights.
Designed data structures and dashboards on Power BI to support analytics, enabling data-driven decision-making for optimal workforce distribution. Built predictive models to forecast manpower needs, improving resource planning and operational efficiency. Designed and promoted interactive visualisations, enhancing user adoption and engagement with key insights.
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