Ultra-lightweight, zero dependency, semantic HTML, CSS, JS UI library. ~8KB min+gz.

A professional exploration of reflective analytics, dashboards that evolve through user interaction. This project reimagines BI systems as adaptive, cognitive mirrors that learn analyst behavior, anticipate reasoning patterns, and transform data visualization into a collaborative, intelligent process.

This dashboard (Data Jobs v3) was created for Job Seekers, Job Transitioners, and Job Swappers to solve a common problem: information about the data job market is scattered and hard to grasp. Using a real-world dataset of 2024 data science job postings (including titles, salaries, and locations) this project provides a single, easy-to-use interfac

Navigating the data job market can feel like a maze with information scattered everywhere. This dashboard (V2.0) is designed specifically for Job Seekers, Job Transitioners, and Job Swappers to cut through the clutter! Using a real-world dataset of 2024 data science job postings rich with details on titles, salaries, and locations.

This dashboard was created for Job Seekers, Job Transitioners, and Job Swappers to solve a common problem: information about the data job market is scattered and hard to grasp. Using a real-world dataset of 2024 data science job postings (including titles, salaries, and locations), this project provides a single, easy-to-use interface.

An end-to-end Power BI analytics practice project exploring global Data Science salary trends, job market dynamics, and hiring funnels. Featuring interactive dashboards, advanced DAX measures, and geospatial analysis to uncover insights into compensation, degree requirements, and industry demand.

The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.

A secure authentication system that combines password login with one-time two-factor verification to protect accounts and prevent unauthorized access.

20 ready-to-use Excel VBA macros with before/after explanations and automation samples.

Discover the Vrinda Store Annual Report Project, where we analyze sales data to reveal actionable insights for business growth. This Excel-based dashboard offers a complete overview of customer, regional performance, and sales channels, etc. Dive into data-driven decision-making and Dive into data-driven decision-making and strategic planning.

Analytical exploration of ecommerce customer behavior (2020–2023) using Tableau, covering segmentation, churn patterns, return impact, and revenue forecasting.

In-depth Exploratory Data Analysis on café sales using Python and Power BI to uncover insights on trends, customer behavior, and business performance.

This project is done as part of Codebasics Data Analyst Bootcamp

Interactive dashboard in Tableau analyzing UK(DfT) road accident data (2016-2020) with advanced features like filters, parameters, and calculated fields to reveal accident trends & support research & policy-making. Preprocessed data in Excel to ensure accuracy.

🎯 Interactive multi-page dashboard for customer loyalty program analysis 🔍 Advanced data blending, geographic mapping, & interactive controls in Looker Studio 📈 4 comprehensive pages: Sales, Demographics, Geographic Insights, Hierarchical Analysis 🛠️ Data Visualization | Business Intelligence | Customer Analytics | Dashboard Design

📊 Interactive Power BI dashboard analyzing PhonePe transactions, users, and regional trends across India.

Road Accident Analysis using Excel

An interactive Power BI project analyzing multi-year Spotify streaming history to uncover user listening patterns, peak activity times, and music preferences. The dashboard includes YOY growth analysis, heatmaps, top artist/album/track rankings, and quadrant segmentation of songs based on frequency and duration.

End-to-end Power BI analytics project completed as part of a college data analytics course. The project analyses student performance and engagement for a fictional college, using structured data modelling, DAX measures, and interactive dashboards to surface trends, risks, and actionable insights for academic decision-making.