Freelance Data Visualizers in MaharashtraFreelance Data Visualizers in Maharashtra
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Abu Aasif Ansari's avatar
Abu Aasif Ansari
Bhiwandi, India
I build AI-powered data apps and dashboards
13
Followers
I build AI-powered data apps and dashboards
Cover image for Project Overview This is a personal portfolio and services s...
Project Overview This is a personal portfolio and services site built for a working freelancer — myself — as part of the Make It Real Challenge. I'm a data visualization specialist and AI dashboard developer, and I wanted the site itself to reflect that work rather than just describe it. So instead of stock photography and generic copy, every visual on the site is a real screenshot from a project I've actually shipped. The Concept Most freelance portfolio sites lean on polished lifestyle photography — laptops on wooden desks, people in blazers looking thoughtfully at monitors. I wanted to flip that: let the actual product screens do the talking. The site is built around a simple idea — "solutions built on data, not guesswork" — and that shows up literally in the visuals, not just the copy. What's on the site Homepage: A direct hero statement ("I Turn Messy Data Into Decisions") backed immediately by a real dashboard screenshot from my Anomaly Review & Action Console, followed by a "recent work" section pulling in three separate real projects. Services page: Four core offerings — Anomaly Detection Dashboards, Power BI & Data Analytics, AI-Integrated Internal Tools, and Custom Data Automation — each paired with an actual screenshot of that specific project (not a mockup). About page: A short, direct bio and a real photo, no filler. Contact page: A simple inquiry form paired with a data-visualization graphic that matches the site's overall theme. How I used Finish Layer Block Animations: I used on-appear and on-scroll triggers (Reveal and Slide styles) across the homepage, services, and contact pages. Section headings reveal as the page loads, and content blocks slide/fade in as the visitor scrolls — this turns what would be a static, all-at-once page into a guided, paced experience. Block Transform: Rather than a flat grid, I applied a subtle rotation to a couple of key visuals (a dashboard screenshot and the contact-page graphic) — just a few degrees, enough to break the rigidity of the layout without sacrificing readability. It gives the page an asymmetrical, more intentional feel instead of looking templated. Process I built this using Squarespace's Blueprint AI to get a fast base structure, then went through every page replacing AI-generated placeholder content (stock imagery, generic service descriptions, an accidental product/ecommerce section) with real project data, real screenshots, and copy that actually reflects how I work with clients. The site is password-protected rather than published on a paid plan, and is fully responsive across desktop and mobile. Access: 🔗 Site: https://pike-megalodon-4yb2.squarespace.com (https://pike-megalodon-4yb2.squarespace.com)🔑 Password: Omega
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Cover image for Superstore Sales Dashboard — 3-Page
Superstore Sales Dashboard — 3-Page Power BI Report Built an interactive 3-page Power BI dashboard using the Superstore Sales dataset (9,994 orders across USA). Page 1 — Sales Overview: KPI cards, monthly trend, regional breakdown, category performance. Page 2 — Product Performance: Top products, category donut, profit analysis, sales vs profit scatter. Page 3 — Customer & Shipping: Segment breakdown, top 10 customers, monthly growth, ship mode distribution. Tools: Power BI, DAX, Superstore Dataset Theme: Dark professional with interactive year filter.
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Cover image for AI-Powered Data Cleaning Tool Development
AI-Powered Data Cleaning Tool Development
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Cover image for AI-Powered Data Cleaning Tool
AI-Powered Data Cleaning Tool
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Data Visualizer(11)
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 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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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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Data Visualizer(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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Data Visualizer(3)
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 HR Analysis For Attrition
HR Analysis For Attrition
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Cover image for Swiggy Instamart Sales Dashboard
Swiggy Instamart Sales Dashboard
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Data Visualizer(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 Excel Sales Dashboard Project
Excel Sales Dashboard Project
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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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Data Visualizer(4)
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 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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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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Data Visualizer(3)