Thesis: Sentiment Analysis, Selection Evaluation and Behaviour of E-Commerce Users Using Latent Dirichlet Allocation and Feature Selection

Best final year project: Weight Loss with AtkinsPublication/Conference: Jasni, Siti Khadijah, (2016, August). Weight Loss with Atkins. Paper presented at International Conference on Agricultural, Food, Biological and Health Sciences (AFBHS-16), Kuala Lumpur, Malaysia.&nbsp;

Best final year project: Effectiveness of the Atkins Diet as a Treatment of Weight ReductionPublication: Jasni, Siti Khadijah, Nurul Atiqah Osman, and Nur Syaza Tajola’aurus. “Effectiveness of the Atkins Diet as a Treatment of Weight Reduction.” Journal of Natural Sciences Research 3.13 (2013): 30-32.

<ul><li>Developed 12 machine learning models for the project “Nowcasting Malaysia’s Gross Domestic Product using Machine learning” to complement the existing method in producing advanced estimates for GDP.</li><li>Designed and proposed big data architecture for National Big Data Analytics Centre (NBDAC).</li><li>Functioned as Editor for Malaysia Economic Statistics Review (MESR).</li><li>Implemented six regression machine learning models to analyze the effects of exchange rate volatility on the export and import of Malaysia by employing monthly trade data for the period from January 2010 to December 2020.</li><li>Analyzed the economic impacts of COVID-19 containment on Malaysia through statistical analysis and developed a Tableau dashboard to present the findings.</li><li>Presented and developed Malaysia Population dashboard using Tableau to stakeholders.</li><li>Involved in data collection for Census Malaysia 2020 and foresee the progress of population data in Pahang.</li><li>Cleaned and processed data for Census Malaysia 2020.</li></ul>

Statistician

<ul><li>Involved in the implementation of a new ERP system: Microsoft Dynamic 365 - responsible for the quality of software development and deployment by performing automated and manual tests to ensure the software created by developers is fit for purpose.</li><li>Established, maintained, and published Software Testing report and its performance metric every week.</li><li>Trained material and production planners on production planning scheduling using the new ERP system.</li><li>Created and designed the standard “Item Creation” and “Material Transfer” forms to ensure data consistency for the new ERP system.&nbsp;</li></ul>

Supply Chain Executive

<ul><li>Processed engineering changes to build schedules with planners to meet customer expectations while minimizing surplus or obsolete inventory exposure.</li><li>Analyzed, verified, and loaded internal BOM and customer’s BOM in SAP PLM system to maintain BOM’s accuracy.</li><li>Coordinated the implementation of engineering changes across all functions: planning, purchasing, quality, and production.</li><li>Advised the customer of the implementation of ECOs and their BOM’s inaccuracies if detected and Approved Vendor Listing (AVL).</li><li>Validated and performed root cause analysis on all missed transition timing.</li><li>Resolved discrepancies through communication with the customer, and all functional departments within the work cell.</li><li>Established, maintained, and published Engineering Change report and performance metric every week.</li></ul>

Engineering Change Coordinator

Nowcasting Malaysia GDP. Contribute to kathyskj/ML-NOWCASTING-MALAYSIA-GDP development by creating an account on GitHub.

GitHub: Nowcasting Malaysia GDP

Siti Khadijah Jasni

Contribute to kathyskj/NLP-Amazon-Customer-Review development by creating an account on GitHub.

GitHub: NLP Amazon Customer Review

Contribute to kathyskj/EXCHANGE-RATE-VOLATILTY development by creating an account on GitHub.

GitHub: Exchange Rate Volatility

English (British)

Siti Khadijah Jasni is a data enthusiast and is currently a statistician in the Core Team Big Data Analytics division at the Department of Statistics Malaysia where she developed 12 machine learning models for the project “Nowcasting Malaysia’s Gross Domestic Product using Machine learning” to complement the existing method in producing advanced estimates for GDP. She is also skilled with big data architecture, data visualization using Tableau, data reporting, and software testing.

Siti Khadijah Jasni

Employment Highlights

Education Highlights

Portfolio

GitHub: Nowcasting Malaysia GDP

GitHub: NLP Amazon Customer Review

GitHub: Exchange Rate Volatility

GitHub: Nowcasting Malaysia GDP

GitHub: NLP Amazon Customer Review

GitHub: Exchange Rate Volatility