Projects using Microsoft Power BI in Pune
Projects using Microsoft Power BI in Pune
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Smita S
MRR & Churn Analysis Dashboard for SaaS Retention and Growth
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Rohit Poddar
Credit Card Spending Pattern and Customer Acquisition | Power BI
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65
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Neha Madrala
Data is useless. Yes, it is. Because on its own, it doesn’t say much. It’s just numbers, rows, and columns. The real value comes when that data is understood — when it answers a question, shows a pattern, or drives a decision. That’s what turns data into information. And that’s what businesses actually need.
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Sarbjot Singh
Data Analytics Project | BlinkIT Grocery Sales Analysis Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈 📊 What I worked on: Analyzed sales performance across product categories, outlet types, sizes, and locations Identified top-performing item categories and customer preferences Studied the impact of outlet size, establishment year, and visibility on sales Converted raw data into actionable insights and business recommendations 💡 Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz )
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VARSHA ZOKE
Cricket WorldCup Dashboard
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6
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Ateeb Mahedvi
HR Analytics Dashboard
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Daniyal Shaikh
Online Retail Price Analysis - Flipkart vs Amazon
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Aishwarya Mahajan
Responsive Sales Dashboard for Madhav Store
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Weitblick
Real Estate Power BI Dashboard
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saikat nandi
Sales Analysis E-Commerce Power BI
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Jash Joshi
Enhancing Operational Efficiency through ETL Solutions
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4
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Siddhartha Tiwari
Adidas Report - Sample
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Smita S
Power BI Templates for Self-Service Reporting
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Neha Madrala
Medicine Supply Chain Risk Dashboard An interactive dashboard built on 1703 real FDA drug shortage records, visualising ML model predictions across 6 dynamic charts. Key findings: 35.2% of monitored drugs are at risk, 2025 recorded the highest shortages in history, and Anesthesia and Cardiovascular drugs are the most vulnerable categories. Features year and disease category filters for drill-down analysis enabling hospital procurement teams to take preventive action before shortages occur.
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Sarbjot Singh
I’m excited to share my latest Data Analytics project where I analyzed Customer Shopping Behavior to uncover trends in sales, demographics, and purchasing habits.This project was a great exercise in building a complete data pipeline. The Tech Stack: Python (Pandas & NumPy): Used in Jupyter Notebooks for initial data exploration and statistical analysis. PostgreSQL: Utilized for rigorous data cleaning, querying, and structuring the dataset for analysis. Power BI: Built an interactive dashboard to visualize key metrics like seasonal trends, subscription impacts, and category performance. Project Highlights: ✅ Data Cleaning: Leveraged PostgreSQL and Pandas to handle missing values and standardize categorical data.
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VARSHA ZOKE
Swiggy Instamart Sales Dashboard
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