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❤️🩹 Developed machine learning models to reduce marketing expenses, increase revenue, recommend products to customers, and segment customers in an insurance company
🕺Performed customer segmentation using both K-means and K-prototypes algorithms, assisting the marketing team in tailoring their marketing strategies to the target segments.
📜 Developed Skreper, a locally-run web-based scraping application designed for Tokopedia and Nike Indonesia. Assisting in data extraction when no public API is available.
💵 Reduced overpricing and underpricing by creating a regression-based machine learning model that predicts real estate prices in the Canberra district.
⛹️♀️Reduced misallocated recruitment expense by creating a binary classification machine learning model that identifies potential basketball recruits.
🚘Developed a classification-based machine learning model to accurately predict instances of heavy congestion in specific sectors, dates, and hours in several cities in West Java.
Jupyter Notebook
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