Experienced data analyst with expertise in data preparation, ETL, and data visualization using Tableau. Skilled in data exploration and dashboard creation to help drive data-informed decision-making.
a) Improved the data preparation process through scripting and automation, resulting in a 15% production
improvement in a more efficient and streamlined manner.
b) Designed, and developed an ETL workflow and utilized it to create dashboard reports that facilitated datainformed decision-making. The dashboard effectively communicates key performance indicators such as the
components requiring monitoring, as well as the sales and output metrics of the business.
c) Conducted comprehensive data analysis utilizing the data and provided insightful recommendations to clients,
effectively addressing their business problems and driving positive outcomes.
d) Performed EDA and applied ARIMA forecasting models to analyze business production data for customers
behavior in purchasing, which contributes for 4% productivity increase in the manufacturing team.
Improved the data preparation process through scripting and automation, resulting in a 15% production improvement in a more efficient and streamlined manner.
Designed and developed an ETL workflow and utilized it to create dashboard reports that facilitated data-informed decision-making.
The dashboard effectively communicates key performance indicators such as the components requiring monitoring, as well as the sales and output metrics of the business.
Conducted comprehensive data analysis utilizing the data and provided insightful recommendations to clients, effectively addressing their business problems and driving positive outcomes.
Performed EDA and applied ARIMA forecasting models to analyze business production data for customers behavior in purchasing, which contributes for 4% productivity increase in the manufacturing team.
Exposure to data scientist and analyst job related starting from data storytelling, introduction to programming, python for analytics (basics and advanced), SQL essentials, No SQL, Apache Spark, Descriptive and Inferential Statistics, Supervised and Unsupervised Machine Learning and Deep Learning.
Designed a predictive model using Machine Learning to determine the potential customer.
Visualised and defined the relationship between each numerical variable with churned and non-churned user behaviour.
Operational knowledge of control validation and change control.
Evaluated the semiconductor product in coordination with the Product and Manufacturing teams.
Oversaw the manufacturing equipment and fixed any problems with the product and equipment's design.
Maintained the Quality System of the project and ensured its effectiveness.
Detected the electronic package fault that results from sensor calibration mistakes during production, which aids in lowering the quality error.
Set up tests for the new equipment and gave manufacturing instructions for the new assembly equipment to the technician & operator.
Performed day-to-day operations of the company and workshop, including all areas of operation, to ensure the safety and ability of the company to run smoothly.
Handled and administered the daily administrative, production, and workshop operations efficiently.
Designed compressor layout that needed to be custom-made by China's supplier due to the spare part not being accessible in Malaysia.
Improved the plan layout of the warehouse for the ease of use of the supervisor and workers in the production line during inventory stock checkups and forklift loading/ unloading.
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