Portfolio

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Sephora EDA

Exploratory Data Analysis (EDA): Explore product categories, regular and discount prices, brand popularity, the impact of different characteristics on price, and ingredient trends Sentiment Analysis: Is the emotional tone of the review positive, negative, or neutral? Recommender System: Analyzing the customer’s past purchase history and reviewsData Visualization: What are the most popular brands and products? What is the distribution of prices? What does the cloud of the most frequently used words look like? Data source: Kaggle.com

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SupplyChain Dashboard

Data Vizualization: Sales by Category, Sales by year, Profits by year, Utilities Table,Cities by KPI

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Marketing A/B Testing using Python

A/B testing helps marketers observe how one version of a piece of marketing content performs alongside another

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Other Projects

• Sales Forecast: A Forecast helps every business make better business decisions. It helps in overall business planning, budgeting, and risk management. Sales forecasting allows companies to efficiently allocate resources for future growth and manage its cash flow.
• Exploratory Data Analysis of Retail Company

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