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1. Customer-Segmentation-RFM Customer-Segmentation-RFM Public

   This project performs customer segmentation using Recency, Frequency, and Monetary (RFM) metrics to identify key customer groups and provide actionable marketing insights.

   Jupyter Notebook

2. Titanic-EDA-Analysis Titanic-EDA-Analysis Public

   Exploratory Data Analysis on the Titanic dataset – part of my Elevvo Internship (Data Analytics Track)

   Jupyter Notebook

3. Job-Posting-Analysis Job-Posting-Analysis Public

   Analysis of job postings scraped from Real Python’s fake job listings. Includes top job titles, in-demand skills, and visualizations using Python (Pandas, Seaborn, Matplotlib, BeautifulSoup).

   Jupyter Notebook

4. Olist-Ecommerce-Analysis Olist-Ecommerce-Analysis Public

   Full-cycle analysis of the Brazilian Olist E-Commerce dataset. Includes data cleaning, EDA, customer segmentation, and actionable business insights with visualizations.

   Jupyter Notebook

5. Retail-Sales-Breakdown Retail-Sales-Breakdown Public

   Time Series Analysis of Walmart Retail Sales – Internship project analyzing sales trends, seasonal patterns, and revenue breakdowns using Pandas, Matplotlib, and Seaborn.

   Jupyter Notebook

6. Survey-Data-Insight-Generation Survey-Data-Insight-Generation Public

   Data cleaning and insight generation on Kaggle Data Science Survey (2017-2021) using Python, Pandas, and Seaborn.

   Jupyter Notebook