Information-Theoretic Measures for Revealing Variable Interactions

Hospital database system built with Oracle APEX and SQL, featuring an interactive dashboard for real-time insights into patient distribution and doctor availability. Designed to optimize resource management and support hospital administration in data-driven decision-making.

Modeling Agri-finance Credit Risk with Data & Machine Learning using Python (Jupyter Notebook)

This project presents an interactive Power BI dashboard for analyzing Blinkit sales performance across multiple dimensions such as product categories, outlet size, fat content, and year-wise trends.

An interactive Power BI dashboard analyzing Amazon's global sales data — covering revenue trends, regional performance, customer profitability, and segment-wise breakdowns to support data-driven business decisions.

A time series forecasting project using ARIMA and Python to predict Netflix’s quarterly subscription growth, aiding data-driven decisions in content strategy and business planning.

Advanced Excel dashboard designed to analyze product category performance and provide interactive insights into monthly sales trends. Uses tools like regression analysis and combo boxes to enhance decision-making with key metrics on sales and profit.

This repository contains materials for a Data Analysis Hackathon I designed to provide learners with practical experience in analyzing e-commerce sales and customer insights. Participants utilize tools such as Excel, SQL, Python, and Power BI to explore datasets, uncover trends, answer key business questions, and generate actionable insights.

📊 End-to-end data analytics project analyzing a bank’s loan portfolio to identify profitable segments, high-risk borrowers, and strategic insights using Python, Jupyter Notebook, and data visualization.

This repository analyses landslide events in Turkey from the NASA Global Landslide Catalog using Python, exploring how triggers relate to fatalities and seasonality, and mapping provincial hotspots to inform risk-aware planning.

🏦 Analyze bank loan data to uncover profitable segments and high-risk borrowers, guiding data-driven lending decisions and reducing portfolio losses.

Developed an interactive Power BI dashboard by integrating transaction and customer data from a SQL database to provide real-time insights. Streamlined data processing to monitor key performance metrics and trends, sharing actionable insights with stakeholders to support data-driven decision-making.

The Hospitality-Domain-Project is a Power BI dashboard for AtliQ Grands, enabling them to track key metrics, make data-driven decisions, and achieve a 20% efficiency boost and 15% revenue growth.

This project involves data cleaning and exploratory data analysis (EDA) of a fictional retail clothing store dataset. The focus of this analysis is to identify trends, correct inconsistencies, and derive insights in order to make data-driven decisions.

This project analyzes AtliQ Grands' hotel revenue, occupancy trends, and profitability using Power BI. The interactive dashboard provides insights into RevPAR, ADR, market share, and customer behavior to help the management make data-driven decisions. 🔗 Live Power BI Dashboard

This project uses vehicle auction data to identify key factors affecting sale prices and auction timelines, uncovering insights and strategies to optimize auction efficiency, inventory management, and overall sales performance.

Análisis de datos aplicado a RRHH para identificar y explicar los factores que impulsan la rotación de empleados, convirtiendo datos operativos en insights accionables para la toma de decisiones estratégicas.

🌍 Automate Earthworks lab to specification processes, reduce manual tasks, and ensure traceable, reproducible results with ease using a single Excel file.