Freelance Data Analysts in MaharashtraFreelance Data Analysts in Maharashtra
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Manigandan Acharya's avatar
Manigandan Acharya
Mumbai, India
Data Specialist for Clean, Organized & Smart Reports
New to Contra
Data Specialist for Clean, Organized & Smart Reports
Cover image for 📊 Sales Tracking Dashboard |
📊 Sales Tracking Dashboard | Excel + Power BI Project Built an end-to-end interactive Sales Tracking Dashboard covering 2021–2024 across the entire US market. Top-Line Numbers: 💰 Total Sales: $19,28,888 📈 Total Profit: $2,47,962 👥 Total Customers: 8,314 across all years What the dashboard reveals: 🏆 Best-selling sub-categories: Phones ($2,79,464) and Chairs ($2,77,058) lead the pack — together accounting for nearly 29% of all sales 📅 Profit growth year-on-year: → 2021: $49,556 → 2022: $61,618 → 2023: $81,786 — consistent upward trajectory across Furniture, Office Supplies & Technology 🗺️ Geographic concentration: California dominates at $3,90,145 in sales. New York ($2,46,517) and Texas ($1,51,436) follow. West Virginia sits at the bottom with just $536 — a clear signal for regional strategy review. 📦 Technology drives profit — highest-margin category across all 4 years, despite Furniture holding significant volume 🧾 Seasonal trends: Q4 is king — November ($2,34,013) and December ($2,41,464) are the strongest months. February dips to just $59,640 — opportunity for targeted campaigns. 👤 Top customer by profit: Tamara Chand at $8,981, followed by Raymond Buch ($6,939) and Sanjit Chand ($5,757) Tools used: Microsoft Excel · Pivot Tables · Power Query · Charts & Slicers · Dashboard Design This project sharpened my ability to turn raw transactional data into a clean, decision-ready visual — with filters for state, date, year, sub-category, and month. Open to feedback! 👇 #Excel #DataAnalytics #SalesDashboard #DataVisualization #BusinessIntelligence #MicrosoftExcel #DashboardDesign
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Cover image for 🏦 Bank Loan Portfolio Analysis
🏦 Bank Loan Portfolio Analysis | Power BI Dashboard Project Analyzed 38,576 loan records across 50 states to give a bank's lending division a unified view of portfolio health — something they simply didn't have before. What the data revealed: ✅ Net-positive portfolio: $435.8M disbursed, $473.1M recovered ⚠️ 13.8% bad loan rate = $28.25M net capital loss 📊 Debt consolidation drives nearly half of all loan applications ⏳ 73% of borrowers chose 60-month terms over 36-month 📍 60%+ of repayments concentrated in just 5 states (CA, NY, FL, TX, NJ) Tools used: PostgreSQL → Excel → Power Query → Power BI + DAX Built two interactive dashboards: → Summary: KPI cards, good vs. bad loan segmentation, loan status grid → Overview: Trends, geographic maps, term/purpose/employment breakdowns The next phase? Building a predictive risk scoring layer using DTI, interest rate, and employment length to flag at-risk loans before they default. Open to feedback from data folks in the community 👇 #PowerBI #DataAnalytics #SQL #DAX #BankingAnalytics #PortfolioAnalysis #DataVisualization
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Cover image for Every hospital generates thousands of
Every hospital generates thousands of data points daily but without the right lens, it's just noise. Built this Healthcare Analytics Dashboard to turn patient records into decisions. From tracking $1.4B in revenue across admission types to spotting a consistent dip in monthly billing trends the numbers tell a story most teams never get to read. The insight that stood out? Diabetes and Obesity quietly lead revenue by medical condition which says a lot about where healthcare demand is heading. This is what data visualization is actually for not prettier reports, but faster, clearer thinking. Tools: Power BI · DAX · PostgreSQL · Power Query
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Cover image for I Built a two-page Power
I Built a two-page Power BI dashboard on 190K+ FMCG transactions — tracking revenue, SKU performance, promotional impact, and delivery across 3 channels and 3 regions. Uncovered a balanced 33% revenue split across all channels and identified the top 3 revenue-driving SKUs for smarter inventory decisions. Tools: Power BI · DAX · Excel
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Data Analyst(3)
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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Data Analyst(3)
Umar Shaikh's avatar
Umar Shaikh
Pune, India
Data Scientist, Backend Engineer, Data Analyst
10
Followers
Data Scientist, Backend Engineer, Data Analyst
Cover image for main_palmer_penguin_EDA_2024-project
main_palmer_penguin_EDA_2024-project
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Cover image for main_palmer_penguin_EDA_2024-project
main_palmer_penguin_EDA_2024-project
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Cover image for Fraud_Transaction_Detection-Fraud_Finder_ID12254…
Fraud_Transaction_Detection-Fraud_Finder_ID12254…
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Cover image for International Debt Statistics - PPG Bilateral Debt
International Debt Statistics - PPG Bilateral Debt
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Data Analyst(4)
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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Data Analyst(4)
Mahin Sherashia's avatar
Mahin Sherashia
Mumbai, India
Your CRO and Paid Ads Growth Partner | Startups & Enterprise
Your CRO and Paid Ads Growth Partner | Startups & Enterprise
Cover image for Conversion Optimization - 28% improvement in premium Signups
Conversion Optimization - 28% improvement in premium Signups
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Cover image for Certified Google Analytics Expert
Certified Google Analytics Expert
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Cover image for 0 to 1,000 signups per week for SaaS client
0 to 1,000 signups per week for SaaS client
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Cover image for 0 to 200 orders per week for an eCommerce brand
0 to 200 orders per week for an eCommerce brand
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Data Analyst(2)
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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Data Analyst(3)
Shubham Harde's avatar
Shubham Harde
Nanded-Waghala, India
Power BI & SQL expert delivering actionable business insight
Power BI & SQL expert delivering actionable business insight
Cover image for Airline Data Analysis Using SQL
Airline Data Analysis Using SQL
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Cover image for Crunchy Corner Business Optimization & Financial Analysis
Crunchy Corner Business Optimization & Financial Analysis
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Cover image for Yelp User Engagement Analysis
Yelp User Engagement Analysis
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Data Analyst(3)