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.

📊 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 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.

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.

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.

AI-powered telecom churn prediction system with ROI-optimized retention strategy. Random Forest & XGBoost models on 100K customers, validated business hypotheses, and a financial simulation showing $17.3K net ROI. 🥉 3rd Place, AITss 2026.

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

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 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.

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.

Business Intelligence portfolio showcasing Power BI & Tableau dashboards, SQL & Python analysis, data modeling, and advanced analytics (cohort, funnel, segmentation) to drive revenue and business decisions.

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

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

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.