Tentang MAGENTA

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.

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Seleksi dan Penerimaan

Cara Melihat Status Pendaftaran
Curriculum Vitae

Rizma Agustin

Rizma Agustin

Kab. Karanganyar
Terakhir login 4 hari yang lalu

Portfolio
Media Social

Detail-oriented and data-driven Statistics student with hands-on experience in daily KPI reporting, operational monitoring, and service performance analysis during internship at Telkom Akses. Skilled in data analysis, dashboard visualization, and trend evaluation using Python, Excel, and Looker Studio. Actively involved in the Coding Camp powered by DBS Foundation (Machine Learning path), with proven ability to apply analytical thinking in real-world business problems. Passionate about supporting customer service operations through accurate data tracking and insightful reporting to enhance service quality and escalation processes.

Sedang berjalan
Universitas Diponegoro

S1 Statistika IPK 3.44

April 2025 - April 2025
Research Team

Solopos Institute - Solopos Media Group Magang

Conducted web scraping from Google Search to collect relevant textual data for sentiment analysis related to SBBI (Surakarta Big Brand Index) project., Classified data into positive, negative, and neutral sentiment labels based on manual review and criteria guidelines then reported to mentor for further analysis and integration into project reports.


Juli 2024 - September 2024
Performance and Finance

PT Telkom Akses Magang

Reported daily KPI IOAN to manager, then analyzed and evaluated indicator KPI in Telkom Akses, Resulted in 14 reports to identify areas that require improvement and provide recommendations for improvement, Monitored and documented 10+ company financial transactions daily


Media
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Februari 2025
Machine Learning Engineering

Dicoding 81P2LLNGNZOY

Completed a 5-month independent study program under the Machine Learning Engineering path, focusing on in-depth learning of machine learning, model deployment, and AI-based solution development. The curriculum included supervised and unsupervised learning, deep learning with TensorFlow, and a final project involving a recommendation system and image classification. Participants also received soft skills training, attended live ILT (Instructor-Led Training) sessions, and earned certifications from Dicoding.


Media
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Desember 2024
Statistics using R for Data Scientist

DQLab DQLABINTR1CSIVJN


Media
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Hard Skills:
Data Analysis
Administrator Basis Data
Analisis data (Excel, Tableau)
Visualisasi data
Microsoft Excel (analisis data bisnis)
Microsoft Office (Word, Excel)

Soft Skills:
Adaptif
Analitis
Organizational Transformation
Kepemimpinan
Kolaborasi
Kreativitas
Keterampilan manajemen waktu