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)

📊 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.

Data-driven analysis and recommendations for optimizing sales, inventory, and customer experience at 99 Market Mall using business data management techniques.

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 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.

This repository contains my Week 1 Retail Sales Excel Analysis completed during my Data Analyst Internship at Logic Stack. The project focuses on data cleaning, quality checks, Excel functions, sorting, filtering, charts and basic sales analysis using a retail sales dataset. It showcases my practical Excel and data analysis skills.

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.

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.

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.

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

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 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.

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.

Business analytics case studies using R, factor analysis, structural equation modelling, and experience curve analysis

This project aims to improve hospital operational efficiency by enhancing appointment scheduling, resource allocation, and inter-departmental communication through an integrated Hospital Information System (HIS).