Kementerian BUMN bersinergi dengan seluruh BUMN di Indonesia untuk dapat memberikan kesempatan magang bagi mahasiswa dan fresh graduate baik lulusan dalam negeri maupun luar negeri.
Final year Informatics Engineering student with extensive experience in data analysis and business. Passionate about data analysis, with a focus on data collection, analysis, and dashboard visualization.
Sedang berjalan
Universitas Muhammadiyah Jakarta
S1•Teknik Informatika•
IPK 3.5
Agustus 2024 - Februari 2025
Business Development Intern Generalist
Verified intern of
PT Bank Rakyat Indonesia (Persero) Tbk•Magang
Mei 2024 - Juli 2024
Data Analysis: Fullstack Intensive Boot Camp
MySkill•Project Base
Sharpen your data analysis and problem-solving skills
learned pyhton programming
learned SQL programming to analyze business data
Februari 2024 - Maret 2024
Project-Based Virtual Intern : Business Intelligence Analyst
Bank Muamalat X Rakamin Academy•Project Base
Cleaning data using SQL in BigQuery
Inserting databases into BigQuery and converting them into tables
Creating data visualizations using Looker Data Studio
Creating relationships (ERD) between tables
Provide advice to companies to increase sales and maintain product quality
Februari 2023 - Juni 2023
Artificial Intelligence Mastery Program
PT Orbit Ventura Indonesia•Magang
• Learn and explore AI concepts and various machine learning and algorithms
• Develop AI models using programming languages such as Python, TensorFlow, and PyTorch.
• Analyze case studies and real-world projects to apply AI knowledge in the real world.
• Create collaborative projects to solve complex AI problems and develop innovative solutions.
Agustus 2022 - Februari 2023
AI for StartUps
PT Mitra Semeru Indonesia•Magang
• Lead a team in designing, developing and implementing advanced Computer Vision models to identify and localize marine species
under culture conditions.
• Analyze image and video data to identify environmental changes and optimize culture parameters for marine species.
• Prepare regular reports to stakeholders and discuss project results and findings.
• Using machine learning and deep learning techniques to develop models that can recognize and track marine species with high
accuracy