Analyze product data for an online sports retail company to optimize revenue.

Applying product segmentation, demand forecasting, and revenue optimization to increase online retailer revenue

Dynamic Pricing is an application of data science that involves adjusting the prices of a product or service based on various factors in real time. It is used by companies to optimize revenue by setting flexible prices that respond to market demand, demographics, customer behaviour and competitor prices.

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.

Understanding customer buying patterns and retention behavior.

Comprehensive customer acquisition systems covering modern lead generation, conversion optimization, and customer onboarding methodologies. Build sustainable customer acquisition processes.

🔔 Receive Apple App Store revenue notifications in real-time on your device with RevenueBell, a lightweight Cloudflare Worker script.

An alternative to Nomis solutions on e-Cars case through Logistic Regression with Lasso regularization

SQL and Python-powered analysis of airline data to uncover insights on occupancy rates, revenue performance, and pricing strategies for improved profitability.

Automated sales dashboard for AtliQ Hardware enabling data-driven decision making.

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.

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.

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.

Healthcare Operations Analyst | Transforming hospital data into $427K revenue recovery opportunities through Python analytics and interactive Streamlit dashboards. Specialized in predictive modeling, operational optimization, and executive reporting for healthcare systems.

Анализ A/B-тестирования новой механики оплаты: оценка метрик, статистические тесты, рекомендации по внедрению и оптимизации.

🏨 Dynamic Pricing Dashboard for Hotel Revenue Optimization - AI-driven pricing strategies with machine learning models and interactive visualizations

"An AI-powered system that optimizes retail prices using Machine Learning to maximize revenue."

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

Visualizing retail revenue, customer segmentation, and seasonal trends through SQL-driven analysis and Tableau.