This repository features data analysis and ML projects, including EDA notebooks, ML models, and evaluation metrics. Built with NumPy, Pandas, Scikit-learn, and Statsmodels, it covers the end-to-end process from data exploration to model evaluation.
This repo contains using Data Mining Techniques to analyze meteorological (meteo) data. The objective is to extract meaningful insights and patterns from the data that can aid in understanding weather phenomena and predicting future weather conditions.
Collection of interactive Power BI dashboards analyzing real-world datasets to uncover trends, insights, and data-driven decision patterns.
SQL-based analysis of Spotify user behavior to identify churn patterns, build a rule-based risk segmentation model, and design targeted retention strategies.
Sales Performance Analysis
Interactive Power BI dashboard analyzing food delivery operations, customer behavior, restaurant performance, and business insights using DAX, Power Query, and data visualization.
This project involves building an interactive Power BI dashboard to analyze and visualize e-commerce sales data. It provides key insights into sales performance, customer behavior, top-selling products, regional trends, and revenue growth.
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