● Process data end to end until it becomes a datamart and create 22+ dashboards for KLHK (Kementerian Lingkungan Hidup dan Kehutanan) using Tableau Desktop & develop into Tableau Server. ● Optimized the scheduling of dashboard data refreshes on Tableau Server and succeeded in automatically refreshing the data on a daily basis.● Datawarehouse development using star schema modelling and creating datamarts from Oracle to PostgreSQL from many fact & dim tables.

- Responsible in the micro hydro power plant project team in collaboration with PT. ITS Techno Science with Telkom Sustainability. - Creating an entrepreneurship training module and impacting about 10 people in Tlocor Village - Preparing reports and financial analysis including BoQ, BoM, Operation and Maintenance Cost, calculating net present value (NPV), payback period of microhydro power plant project.

• Become secretarial staff at INNERGY which is a webinar event from the energy laboratory and gained 100 participants. • Be a Head of Internal Division. Create and Update the final project database which until now has reached 134 final project titles along with their names and contacts.

- Collect data from 3 social media Girls beyond (Instagram, Twitter, Tiktok)- Make analysis and optimization of social media data- Create a weekly social media report dashboard using Google Data Studio

• Selected to be one of the students who had the opportunity to learn about Solar PV Design, Solar PV Financial Analysis, and PV Simulation using PVSyst• Perform geographic and solar irradiation levels using globalsolaratlas and PV simulations using PVSyst• Participate in working on capstone project “Simulation and Analysis of Ground Mounted PV System Using PVSyst: Location Study at Indonesian Power Headquarters” and become 3rd best group of capstone project

• Selected to be one of the students who had the opportunity to learn about data analysis and business operation in Ruangguru• Learn about Business, machine learning, Python, SQL using PostgreSQL, and data visualization using Tableau. • Make a machine learning project in Python, namely “Predicting Marketing Sales Using Linear Regression” • Create a modelling for marketing segmentation using clustering with K-Means algorithm and get a high accuracy value • Make a data visualization and interactive dashboard for marketing department in final project using Tableau.