Database-Driven Website
Full-stack web application with a properly normalized relational database (up to 3NF). Features complete CRUD operations, ERD design, and efficient table relationships built from scratch.
Portfolio
Data Analyst | Business Development | Marketing Insights
Transforming data into actionable insights that drive business growth and strategic decision-making.
I am a final-year Statistics undergraduate at Universitas Padjadjaran (GPA 3.79/4.00) with a strong interest in transforming data into clear, meaningful, and actionable insights.
My academic background has equipped me with solid foundations in statistical analysis, data modeling, and quantitative reasoning, while my hands-on experiences have strengthened my ability to communicate insights through effective visualizations and storytelling.
I enjoy working at the intersection of data, design, and decision-making, where analytical rigor meets clarity, creativity, and impact.
Bachelor's Degree in Statistics
2023 – Present
phpMyAdmin
FL Studio
Google AntigravityFull-stack web application with a properly normalized relational database (up to 3NF). Features complete CRUD operations, ERD design, and efficient table relationships built from scratch.
Interactive analytics dashboard revealing monthly sales trends, order patterns, and revenue insights. Implemented RFM segmentation to identify VIP customers and churn risks for targeted marketing strategies.
Comprehensive public health surveillance tool for West Java (2019–2023). Interactive maps, trend charts, and KPI cards to monitor HIV incidence rates, mortality, case fatality rates, and identify high-risk regions.
Epidemiology analytics platform tracking Pneumonia cases across DKI Jakarta (2017–2024). Spatio-temporal analysis with interactive visualizations to identify outbreak patterns and high-risk areas.
Deep learning image classifier that identifies cat breeds using EfficientNetV2-S with transfer learning. End-to-end ML pipeline from data preprocessing to model deployment with high accuracy results.
Machine learning analysis on global child mortality and immunization data (SDG 2023). Applied K-Means clustering, PCA dimensionality reduction, and SVM classification achieving 88% accuracy with geospatial insights.
Data storytelling through compelling visual design. Created infographic booklets for hospital surveys, transforming complex satisfaction metrics into digestible insights for stakeholders.
Complete UI/UX overhaul of the Department of Statistics website. Designed wireframes, interactive prototypes, and a cohesive design system to improve user experience and visual consistency.
Real-time voice transcription tool powered by Deepgram's Nova-3 model with automatic speaker diarization. Features stealth mode for interviews, supports Indonesian & English, and saves timestamped transcripts. Perfect for interview practice and meeting notes.
Transform your WhatsApp chat exports into beautiful "Spotify Wrapped" style analytics. 100% client-side processing ensures complete privacy — your data never leaves your browser. Discover who texts the most, emoji patterns, and conversation insights.
A portable and lightweight Windows memory optimizer built with C++ to free up system resources and enhance performance.
Let's connect and create something amazing together.