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    <title>roopkumar das</title>
    <link>https://blog.katakane.tech/</link>
    <description>data science student at IITM, aspiring to turn data into decisions</description>
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        <title>Offline Retail Clothing Store Data Analysis</title>
        <link>https://blog.katakane.tech/blog/2025/05/20/retail_store_analysis/</link>
        <description>Analyzing data from offline retail store in hopes to find alpha to generate more revenue</description>
        <pubDate>Tue, 20 May 2025 22:50:00 +0530</pubDate>
        <guid>https://blog.katakane.tech/blog/2025/05/20/retail_store_analysis/</guid>
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        <title>Online Retail Store Analysis</title>
        <link>https://www.kaggle.com/code/roopkumardas/online-retail-store-analysis</link>
        <description>This analysis explores an online retail store dataset, aiming to uncover key insights about customer purchasing behavior, product performance, and revenue distribution. The dataset, sourced from the UCI Machine Learning Repository, contains transactional data, including invoice details, product codes, quantities sold, prices, and customer IDs.</description>
        <pubDate>Tue, 25 Mar 2025 03:26:00 +0530</pubDate>
        <guid>https://www.kaggle.com/code/roopkumardas/online-retail-store-analysis</guid>
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        <title>Titanic predictions with RandomForestClassifier</title>
        <link>https://blog.katakane.tech/blog/2024/04/30/titanic-predictions-randomforestclassifier/</link>
        <description>Simple prediction machine learning steps to get started with titanic dataset available in kaggle. Used RandomForestClassifier with classic data cleaning.</description>
        <pubDate>Tue, 30 Apr 2024 04:27:00 +0530</pubDate>
        <guid>https://blog.katakane.tech/blog/2024/04/30/titanic-predictions-randomforestclassifier/</guid>
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