Analyze product data for an online sports retail company to optimize revenue.
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Jun 23, 2022 - Jupyter Notebook
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revenue-optimization
Here are 10 public repositories matching this topic...
Applying product segmentation, demand forecasting, and revenue optimization to increase online retailer revenue
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Dec 15, 2020 - Jupyter Notebook
Analysis of KMS' Order data from 2009-2012. Includes pivot tables, charts, and insights on sales, regions, customer profitability, and shipping costs. Provides recommendations to optimize operations and enhance revenue for Kultra Mega Stores.
recommendations sales charts analysis pivot-tables regions shipping-costs revenue-optimization order-data customer-profitability kultra-mega-stores
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Jun 22, 2023
An alternative to Nomis solutions on e-Cars case through Logistic Regression with Lasso regularization
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Aug 31, 2020 - Jupyter Notebook
Анализ A/B-тестирования новой механики оплаты: оценка метрик, статистические тесты, рекомендации по внедрению и оптимизации.
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Aug 21, 2024 - Jupyter Notebook
IT contains data analysis and visualizations aimed at improving a landscaping company's revenue and customer satisfaction. The project addresses two sub-goals: increasing revenue and improving customer satisfaction. Four visualizations are provided, each contributing insights toward achieving these objectives.
python exploratory-data-analysis pandas data-visualization seaborn data-analysis matplotlib interactive-visualization customer-satisfaction business-analytics revenue-optimization
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Dec 4, 2023 - Jupyter Notebook
Analyzed hotel booking cancellations, implemented dynamic pricing for a 15% reduction, initiated targeted marketing for 12% rise in peak month bookings, and optimized booking sources. Enhanced revenue and strategy through data-driven insights.
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Feb 23, 2024 - Jupyter Notebook
Reductions of 15% were achieved by using dynamic pricing, 12% more bookings during peak months were made thanks to focused marketing, and booking sources were streamlined. improved income and strategy as a result of insights derived from data.
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Oct 18, 2024 - Jupyter Notebook
Analyzed hotel booking cancellations, implemented dynamic pricing for a 15% reduction, initiated targeted marketing for 12% rise in peak month bookings, and optimized booking sources. Enhanced revenue and strategy through data-driven insights.
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Apr 3, 2024 - Jupyter Notebook
Performed exploratory data analysis, and utilizing Recency, Frequency, and Monetary (RFM) analysis, followed by the application of K-Means clustering algorithm to define distinct customer segments. Executed targeted revenue-generating strategies tailored to each segment, resulting in increased sales and enhanced overall business performance
python machine-learning data-mining clustering data-visualization data-wrangling predictive-analytics customer-segmentation rfm-analysis revenue-optimization
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Mar 10, 2024 - Jupyter Notebook
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