Curriculum Vitae
Danu Umbara
Portfolio
As a highly motivated candidate pursuing a bachelor’s degree in Statistics, I have gained hands‑on experience in data analysis including data preprocessing, statistical analysis, and visualization. My participation in various data analyst programs and certifications has sharpened my skills in Excel, SQL, Python, R, and data visualization tools like Power BI and Google Looker Studio. Through these experiences, I have developed strong teamwork, problem‑solving, and data management abilities.
Sedang berjalan
Universitas Negeri Jakarta
S1 • Statistika • IPK 3.85
Mei 2021
SMAN 1 JAKARTA
SMA/SMK • Matematika dan Ilmu Pengetahuan Alam • Nilai rata-rata: 91.75
Oktober 2025
Magang Reguler Kantor Pusat Batch 2 Tahun 2025 TI
PT Pegadaian • Magang
Juni 2024
Data Coordination Support Intern
Badan Perencanaan Pembangunan Daerah Provinsi Jakarta • Magang
• Assisted in confirming and organizing data for 50+ regional stakeholders during the Data Discovery Workshop (DDW), contributing to the creation of the 2025 data list.
• Drafted data agreement minutes, facilitating the signing of agreements between regional agency heads and Bappeda, ensuring compliance with data preparation standards.
• Contributed to the preparation of DDW reports, supporting the smooth execution of 50+ online and offline sessions, enhancing data collection efficiency by 20%.
Januari 2024
Academic Assistant
Department of Statistics UNJ • Project Base
• Supported the development of training materials on questionnaire design for 20+ high school teachers, improving the quality of data collection for community service programs.
• Assisted in writing a scientific article focused on the DBSCAN clustering method, contributing to the methodology and data analysis sections that improved the article’s data presentation.
• Coordinated community service activities, managing logistical tasks that increased participant engagement by 30% and ensuring timely completion of final reports.
Januari 2025
Data Science & Data Analysis Course
E-Learning Myskill • MS-7/7/2025-O4XzXd4olymp4JSzwN5L
• Completed a self-paced Data Analyst e-learning program covering 9 core topics: Basic Data, Google Looker Studio, Data Analysis, SQL for Data Analysis, Data Science, Python Fundamentals, Python for Data Analysis, Python for Data Science, and Microsoft Power BI.
• Performed statistical analysis and built visualizations using Excel, SQL, Python, Google Looker Studio, and Power BI to turn complex datasets into actionable insights.
• Processed and analyzed datasets of 50,000+ records in Python, and presented findings through interactive dashboards in Power BI and Looker Studio to support data-driven decision-making.
Media
Januari 2025
Data Scientist Bootcamp
Associate Data Scientist Program • No. REG. DMI 2543 00005 2025
• Gained hands-on experience in data preparation, including data labeling, exploration, cleaning, and feature engineering, processing 10,000+ data points for analysis.
• Built and optimized regression models (e.g., Linear Regression, Decision Tree, Random Forest) through feature engineering and hyperparameter tuning, and evaluated performance using MSE, RMSE, and MAE.
• Bulit and optimized classification models (e.g., Random Forest, Support Vector Machine, Logistic Regression) through hyperparameter tuning and feature engineering, and evaluated performance using accuracy, precision, recall, and F1-score.
Media
Januari 2024
Data Analyst
Cepat Cakap Studi Independen 7 • 2/G.1/31.73.02.1001.01.004.C.1.a.b/3/-1.851.332/e/2021
• Completed the Data Analyst Independent Study Program under the Kampus Merdeka MSIB initiative, mastering spreadsheet analytics, SQL, Python, and data visualization, and completing 5+ end-to-end data analysis projects.
• Executed a capstone project analyzing 95,000+ Brazilian e-commerce orders from Kaggle’s Olist Store dataset (2016–2018), covering the full data analysis pipeline from preprocessing to visualization, and earning consistent A (Excellent) scores across all program modules.
• Delivered actionable insights on customer behavior, payment trends, and delivery performance through interactive dashboards in Metabase and Google Looker Studio, supporting data-driven business strategies.