Projects
Published projects present their context, methods, results, and limitations. Drafts and archived work never appear here.
6 projects found
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
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
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.