Projects
Every project shown here is complete — with its context, methods, results, and limitations.
8 projects found
A time series analysis of monthly vehicle crossings on the Merak–Bakauheni ferry route from 2023 to 2024. Using R, the project examines short-term growth and recurring seasonal patterns, with the highest monthly volume reaching 820 thousand vehicles in April 2024.
820KPeak monthly vehicle volume
A note-taking and flashcard app featuring spaced repetition, quizzes, battle mode, a study calendar, and a deck marketplace to keep learning structured.
189Total Cards Saved
A Python package for fast, structured exploratory data analysis on pandas DataFrames. One function call produces a data overview, column profiling, missing value detection, duplicates, outliers, correlations, and data quality warnings. Built to remove repetitive boilerplate from the EDA process.
1 callfor an EDA profile
Customer segmentation on the Online Retail II dataset using an RFM approach. Five clustering algorithms were compared objectively through internal validation, not chosen manually. The final result splits customers into two main segments.
5,878customers analyzed
A prototype data pipeline for collecting, verifying, and analyzing public aspirations on education access in Jakarta and Banten from social media. Twitter data goes through rule based verification, IndoBERT sentiment analysis, and LDA topic modeling, then gets reweighted to avoid domination by prolific accounts.
An analysis and prediction project for rice yield using the global GDHY dataset. Climate grid data in NetCDF format is processed into a yield anomaly prediction model. The focus is on spatial data exploration and time series model evaluation.
A machine learning system that flags suspicious credit card transactions and assigns risk scores. It helps fraud teams prioritize which transactions to review. The Extra Trees model reached 94.83% precision and 77.46% recall.
A case study on a subscription business using the KKBox dataset. The focus is not just predicting churn, but understanding why it happens. The findings are turned into practical retention strategies.
6 monthsdata period