1. Processing and presenting data regarding Verifikasi Penelusuran Teknis Impor (VPTI).2. Creating daily reports for sugar, rice, horticulture, and garlic commodities.3. Preparing weekly reports for all VPTI commodities.4. Compiling monthly VPTI activity reports.5. Providing necessary data for internal and external

As a mentee of Digistar Class at Data Science & design thinking and growth mindset class- Introduction to Python Programming- Learning Data Analysis with Python- Hands on Python (Google Colab)- Create social projects plants with the topic education in disadvantaged areasI delved into the world of data science. This holistic education equipped me with the creativity, adaptability, and analytical skills needed to tackle complex challenges and pursue data-driven solutions.

I conducted an independent study at Zenius, utilizing Python for data manipulation, SQL for database management, Looker Studio for Visualization.- Analyzed 300,000 credit application Home Credit for Final Project- Built machine learning models to predict customer application- Created and developed interactive dashboard visualization This experience sharpened my abilities in data analysis, predictive modeling, and database management.

My internship as a Customer Database Support at PT Pegadaian- Monitoring Key Performance Indicator (KPI)- Analyzing number of active customer per day- Create visualization from analysis KPI, KAT (Kejutan Akhir Tahun), and Active Customer per Day- Engaging in telemarketing product

Learning 5 SKS about mathemathics at Konsorium Merdeka Belajar in Hasanuddin University