Freelancers using Microsoft Power BI in Pimpri-ChinchwadFreelancers using Microsoft Power BI in Pimpri-Chinchwad
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Smita S's avatar
Smita S
Pune, India
Senior Data Analyst | Business Intelligence Consultant
10
Followers
Senior Data Analyst | Business Intelligence Consultant
Cover image for MRR & Churn Analysis Dashboard for SaaS Retention and Growth
MRR & Churn Analysis Dashboard for SaaS Retention and Growth
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Cover image for Power BI Templates for Self-Service Reporting
Power BI Templates for Self-Service Reporting
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Cover image for Inventory Optimization with ABC-XYZ Segmentation
Inventory Optimization with ABC-XYZ Segmentation
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Microsoft Power BI(3)
Sarbjot Singh's avatar
Sarbjot Singh
Pimpri-Chinchwad, India
Power BI Expert | Turning Raw Data into Actionable Insights
New to Contra
Power BI Expert | Turning Raw Data into Actionable Insights
Cover image for Data Analytics Project | BlinkIT
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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Cover image for I’m excited to share my
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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Cover image for Venezuela’s Oil Reserves Analysis Dashboard
Venezuela’s Oil Reserves Analysis Dashboard 📊 I am excited to share my latest data analytics project focusing on the energy sector. Using a dataset covering 23 reservoirs, I designed a comprehensive dashboard to track production capacity and resource distribution in Venezuela. Key Features: ✅ Real-time Metrics: Tracking the 390.50 Billion total barrels in reserve. ✅ Granular Analysis: Production capacity breakdown by reservoir name and oil grade (Extra Heavy to Light). ✅ Stakeholder Mapping: Visualizing the production sum by major operators. Tools Used: [pandas(jupyter notebook)/mysql(for analysis and cleaning of data), Power BI / Excel(for building dashboard)] I’d love to hear your thoughts or feedback on the dashboard design! must visit my github for full project -( https://lnkd.in/dYKdZ8J2 )
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Cover image for Data Analytics Project | BlinkIT
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 Medium-sized outlets outperform others in overall revenue FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz ) Feedback and suggestions are always welcome!
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Microsoft Power BI(4)
VARSHA ZOKE's avatar
VARSHA ZOKE
Pune, India
MS PowerBI certified DataAnalyst | Get results, improvements
MS PowerBI certified DataAnalyst | Get results, improvements
Cover image for Cricket WorldCup Dashboard
Cricket WorldCup Dashboard
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Cover image for Swiggy Instamart Sales Dashboard
Swiggy Instamart Sales Dashboard
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Cover image for HR Analysis For Attrition
HR Analysis For Attrition
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Microsoft Power BI(3)
Ateeb Mahedvi's avatar
Ateeb Mahedvi
Pune, India
Data Analyst | Transforming raw data into clear insights.
Data Analyst | Transforming raw data into clear insights.
Cover image for HR Analytics Dashboard
HR Analytics Dashboard
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Cover image for Instagram Reach Analysis with Power BI
Instagram Reach Analysis with Power BI
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Cover image for Flipkart Sales Analysis Dashboard
Flipkart Sales Analysis Dashboard
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Cover image for Excel Sales Dashboard Project
Excel Sales Dashboard Project
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Microsoft Power BI(3)
Neha Madrala's avatar
Neha Madrala
Pimpri-Chinchwad, India
Power BI Data Analyst turning data into insights
9
Followers
Power BI Data Analyst turning data into insights
Cover image for Data is useless. Yes, it
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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Cover image for Medicine Supply Chain Risk Dashboard An
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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Cover image for This Superstore Sales Dashboard gives
This Superstore Sales Dashboard gives an overview of sales performance across time, regions, customers, and products. Total sales are 1bn, with peak performance in Q4, showing strong seasonal trends. California and Texas are the top-performing states, while New York and Houston lead at the city level. Binders and Phones are the best-selling sub-categories. The dashboard also highlights key customers contributing to revenue and includes filters for deeper analysis. Overall, it helps in identifying trends and making data-driven decisions.
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Cover image for Global Internet Shutdown Analysis What the
Global Internet Shutdown Analysis What the project was about: I analyzed global internet shutdown data to understand where, when, and why shutdowns happen. The goal was to uncover patterns across countries and time periods and highlight their impact on digital access. What I did: Collected and cleaned real-world dataset Performed EDA (Exploratory Data Analysis) Analyzed shutdowns by: Country Year/month Reasons (political, security, protests, etc.) Built Power BI dashboards to visualize trends Identified high-risk regions and frequent shutdown patterns Key Findings: Certain countries showed repeated shutdown patterns over time Most shutdowns were linked to: Political instability Government control during protests/elections Some regions experienced long-duration shutdowns, affecting communication and businesses There was a rise in shutdown frequency during specific global events Challenges I faced: Data cleaning issues Missing values, inconsistent country names Unstructured reasons Different formats for shutdown causes → needed standardization Time-based analysis Converting dates and extracting meaningful trends Visualization complexity Making dashboards simple yet insightful How I solved them: Cleaned and standardized data using Python (Pandas) Grouped and categorized shutdown reasons Used time-series analysis for trends Designed clear and interactive Power BI dashboards Impact / Outcome: Provided a clear view of global digital disruptions Helped identify high-risk regions and key causes Created dashboards that make complex data easy to understand
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Microsoft Power BI(4)
Daniyal Shaikh's avatar
Daniyal Shaikh
Pune, India
Expert Data Analyst & Machine Learning Specialist | Python
Expert Data Analyst & Machine Learning Specialist | Python
Cover image for Online Retail Price Analysis - Flipkart vs Amazon
Online Retail Price Analysis - Flipkart vs Amazon
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Cover image for E-Commerce Reverse Logistics Analysis and Prediction
E-Commerce Reverse Logistics Analysis and Prediction
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Cover image for Flipkart Laptop Web Scraping Project
Flipkart Laptop Web Scraping Project
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Microsoft Power BI(1)