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Report abuse📧 Email • 💼 LinkedIn • 🐙 GitHub • 📍 Bangalore, India
| Category | Tools |
|---|---|
| Languages | SQL, Python |
| BI & Visualization | Power BI, Tableau, Advanced Excel |
| Python Libraries | Pandas, NumPy, Matplotlib, Seaborn |
| SQL Concepts | CTEs, Window Functions, Joins, Query Optimization |
| Power BI | DAX, Power Query, Data Modelling, KPI Dashboards |
| Concepts | ETL, EDA, Business Intelligence, Reporting Automation |
| Tools | MySQL, Jupyter Notebook, Power BI Desktop, Tableau Desktop |
| Project | Tools | Highlights |
|---|---|---|
| 🏥 Healthcare Community Analysis | Power BI, Excel | 10K+ records · KPI dashboards · 15–20% efficiency gain |
| 💰 Financial Risk & Loan Dashboard | Power BI, DAX | 3-page dashboard · credit risk segmentation |
| 🍕 Zomato Sales Analysis | SQL | 5K+ orders · CTEs · window functions · revenue trends |
| 🏦 Bank Customer Attrition | Python, Pandas | 10K+ records · churn analysis · EDA |
| 🤖 ChatGPT Reviews Analysis | Python, NLP | Sentiment analysis · user feedback trends |
| 💻 IT Expenditure Dashboard | Power BI | Budget tracking · departmental spend analysis |
| 🍫 Chocolate Sales Analysis | Tableau | Sales trends · regional performance |
| 🏠 Airbnb Listing Analysis | Python | Pricing trends · location performance |
| 🛍️ Nova Retailer Returns | Tableau | Return rate analysis · cost reduction insights |
| 🚗 Uber Ride Request Analysis | Python | Demand patterns · cancellation trends |
| 🛒 Amazon Review Sentiment | Python, NLP | Sentiment classification · product feedback |
| 🥤 Coke Sales Analysis | Excel | Regional sales · KPI tracking |
| 📊 Advanced Power BI Visuals | Power BI | Custom visuals · advanced DAX |
"Turning data into decisions — one dashboard at a time."
Power BI dashboard analyzing 10K+ healthcare records for KPI and insurance trend monitoring
3-page interactive Power BI dashboard for loan portfolio analysis, credit risk segmentation, and high-risk customer identification using DAX and Power Query.
SQL analysis of 5,000+ Zomato food orders using CTEs, window functions, joins, and aggregations to identify top restaurants, high-value customers, and revenue trends.
Python EDA on 10K+ banking records to analyze customer churn patterns, product usage behavior, and attrition drivers using Pandas, NumPy, and Seaborn.
Python-based sentiment and trend analysis on ChatGPT user reviews to identify satisfaction patterns, common complaints, and feature feedback using NLP techniques.
Power BI dashboard tracking IT budget utilization, departmental spend, and expenditure variance to support financial decision-making in IT operations.
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