• Building data pipelines to gather global market data, commodity prices, weather conditions, and wave height data from external sources • Managing and optimizing cloud-based data storage for secure and fast data access • Setting up ETL pipelines to clean, integrate, and consolidate data, preparing it for analysis and visualization • Analysing real-time commodity price trends and demand to deliver relevant pricing and market predictions • Generating insights on commodity conditions and identifies optimization opportunities based on data trends and user behaviors • Developing and compelling data visualizations to facilitate user understanding of market conditions and potential product optimization

• Execute hands-on stealth tech startup project as part of RevoU Data Analytics. • Responsible to execute analysis such as feature adoption and prioritization analysis, customer segmentation, churn analysis, and KPI dashboard monitoring. • Manage to run 1 self-data project in 2 weeks with satisfactory results from supervisor

• Inputting climate data variables up to 12 hours such as; temperature, relative humidity (RH), air pressure, sunshine duration, radiation, and precipitation daily • Analyzing those climate data daily like highest, lowest, average, trends, and boxplot from those variables of climate data using python • Creating bulletin or dissemination of analysis climate and forecasting about precipitation, drought level, water availability level, flood-prone areas, and average temperature monthly with an accuracy level of 80%