I'm a Data Science graduate from Universitas Pembangunan Nasional "Veteran" Jawa Timur (GPA 3.89/4.00) and Distinction Graduate of Bangkit Academy 2023 Batch 2, with hands-on experience in data analysis, reporting, and dashboard development across the banking and social security sectors. I'm proficient in SQL, Python, Microsoft Excel, and Power BI for data extraction, cleaning, validation, and visualization, with a strong foundation in statistics and analytical problem-solving. For my thesis, I built an machine learning system to Forecasting and Risk Analysis System Using ARIMAX and VaR, integrated into a predictive analytics web system for stock price forecasting using the ARIMAX time series method. I'm passionate about turning complex data into actionable insights, and I'm committed to continuous learning in Machine Learning, Deep Learning, and Computer Vision to deliver real value for businesses and society.

Data Analyst Intern — Dinas Sosial Provinsi Jawa Timur | Surabaya (Feb 2024 – Jun 2024)

• Developed a disaster monitoring information system website for East Java using dashboards and spatial maps, implemented with Flask and MySQL, including daily disaster event data entry.
• Conducted exploratory data analysis and applied clustering techniques to provide recommendations based on personnel data, particularly in disaster response units.
• Performed rainfall time series analysis using the ARIMA method.
• Analyzed Instagram social media data of the East Java Provincial Social Service and created data visualizations.

Bachelor of Data Science — UPN Veteran Jawa Timur (2021 – 2025)

• 🏅 Mathematics for Machine Learning and Data Science Specialization
• 🏅 Machine Learning Specialization
• 🏅 DeepLearning.AI TensorFlow Developer Specialization
• 🏅 TensorFlow: Data and Deployment Specialization
• 🏅 Bangkit Academy 2023 – Machine Learning Path
• 🏅 BNSP Junior Web Programmer