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:🌦️ India Weather Data Dashboard
Built an interactive weather analytics dashboard covering key Indian cities, tracking:
📊 PM10 & PM2.5 pollution ratios across major cities
🌍 O2, NO2, CO average levels
💧 Humidity mapped across regions
💨 Average wind speed by city
☀️ Real-time UV Index, Temperature & Visibility metrics
Built to turn scattered environmental data into clear, actionable visuals — useful for public health awareness, urban planning insights, and environmental monitoring.
Tech: Power BI (or mention your actual stack — Python/pandas, Power BI, etc.)
Would love feedback from the data viz and analytics community! 👇
#DataAnalytics #PowerBI #DataVisualization #Python #EnvironmentalData #DataScience
The network for creativity
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In this project, I worked on cleaning raw sales data and transforming it into meaningful insights using Microsoft Excel. I applied pivot tables and interactive filters to organize information by city, product, payment method, and customer. The analysis highlighted key performance metrics such as total quantity sold, total revenue, and profit across five major cities.
Mumbai emerged as the top-performing city with the highest revenue and profit, while Chennai showed the lowest figures. The final dashboard included a 3D bar chart for clear visualization, making it easy to compare city-wise performance at a glance.
This project demonstrates my ability to:
Perform data cleaning and structuring
Build pivot tables for multi-dimensional analysis
Apply filters for dynamic exploration
Create professional charts for business insights
Impact: The analysis provided actionable insights into regional sales performance, helping identify strong markets and areas for improvement.
How can I work with clients?
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Know it all, with your own company brain.
Introducing Theia. Built with the team on HydraDB to bring high-precision, graph-native intelligence to your enterprise data.
It addresses the fundamental failure modes of traditional vector RAG by unifying dense semantic vector search with graph-native identity resolution, reified topic ontology, and temporal conflict supersession.
You can check it out here: Github: Theia
Superstore Sales & Profit Analysis
Developed a SQL-based sales and profit analysis project using MySQL to clean, validate, analyze, and extract meaningful business insights from the Superstore dataset.
The project involved data cleaning, duplicate detection, date conversion, KPI calculation, sales and profit analysis, product and customer analysis, regional performance analysis, shipping analysis, and discount impact analysis.
Advanced SQL techniques including CTEs, subqueries, JOINs, CASE statements, aggregate functions, and window functions such as RANK, DENSE_RANK, ROW_NUMBER, LAG, and LEAD were used to answer complex business questions and identify performance trends.
Tool: MySQL / MySQL Workbench
Skills: SQL, Data Cleaning, Data Analysis, KPI Analysis, Advanced SQL, Window Functions, CTEs, Joins, Business Insights
