Freelance Data Visualizers in Maharashtra
Freelance Data Visualizers in Maharashtra
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Smita S
Pune, India
Senior Data Analyst | Business Intelligence Consultant
10
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Senior Data Analyst | Business Intelligence Consultant
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MRR & Churn Analysis Dashboard for SaaS Retention and Growth
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36
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Power BI Templates for Self-Service Reporting
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20
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Inventory Optimization with ABC-XYZ Segmentation
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30
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(3)
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Rohit Poddar
Pune, India
Data Analyst: Transforming Insights π
5.0
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1
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Data Analyst: Transforming Insights π
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Credit Card Spending Pattern and Customer Acquisition | Power BI
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65
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E-commerce Sales Dashboard | Power BI
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43
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Exploratory-Data-Analysis-on-Electric-Vehicle | Python
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40
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SuperStore Sales Dashboard and Forecasting | Power BI
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34
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(6)
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Sarbjot Singh
Pimpri-Chinchwad, India
Power BI Expert | Turning Raw Data into Actionable Insights
New to Contra
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Power BI Expert | Turning Raw Data into Actionable Insights
1
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 π π 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 π‘ Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales FOR FULL PROJECT VIST GIT HUB β( https://lnkd.in/d34sdAPz )
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Iβm 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: β Data Cleaning: Leveraged PostgreSQL and Pandas to handle missing values and standardize categorical data.
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Venezuelaβs Oil Reserves Analysis Dashboard π 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: β Real-time Metrics: Tracking the 390.50 Billion total barrels in reserve. β Granular Analysis: Production capacity breakdown by reservoir name and oil grade (Extra Heavy to Light). β 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)] Iβd 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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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 π π 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 π‘ 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 β( https://lnkd.in/d34sdAPz ) Feedback and suggestions are always welcome!
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75
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(3)
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Abu Aasif Ansari
Kagal, India
I help businesses fix messy data and build dashboards
New to Contra
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I help businesses fix messy data and build dashboards
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Smart Data Analyst β AI-Powered Data Analysis App Built a fully working AI-powered data analysis app from scratch using Streamlit and Gemini API. The problem: Most business owners have data in Excel or CSV files but no easy way to analyze it without hiring a full-time analyst or learning Python. So I built a tool where you just upload your file β and the app does the rest. β Auto-detects KPIs from any dataset β Generates charts automatically β Ask questions in plain English β get instant answers with tables and charts β Downloads full PDF report with KPIs and charts β RAG memory β remembers past questions Tech: Streamlit Β· Gemini API Β· Python Β· Pandas Β· Plotly π Live: https://smart-data-analyst-ahkz32vjd6dzvhmexkrhdm.streamlit.app/ (https://smart-data-analyst-ahkz32vjd6dzvhmexkrhdm.streamlit.app/)β GitHub: https://github.com/AbuAsifAnsari/smart-data-analyst (https://github.com/AbuAsifAnsari/smart-data-analyst)
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Data Analytics Project β Subscription Model Analysis (SQL & Power BI) Analyzed a subscription-based business model for Foodie-Fi (TastyStream), a digital platform offering on-demand global cuisine content. The objective was to understand customer journeys, subscription transitions, and revenue performance using SQL and Power BI. Key Contributions & Insights: Segmented customers based on trial-to-paid and plan transitions. Analyzed free trial behavior and conversion patterns. Evaluated revenue performance across subscription plans. Built interactive dashboards in Power BI for actionable insights. Tools Used: MYSQL, Power BI Outcome: Delivered a clear, insight-driven dashboard supporting data-driven decisions in a subscription-based business.
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π SQL & Tableau Project | Sales Analytics Dashboard To practice real-world analytics, I built an interactive Sales Analytics Dashboard using SQL & Tableau to analyze sales performance and customer behavior. πΉ Dataset Highlights OrderID, CustomerID, Product, Category, Sales, Quantity, Discount, Profit, Region, OrderDate πΉ Dashboard Coverage β’ Sales overview: Total Sales, Profit & Orders β’ Product performance: Top-selling products & category insights β’ Monthly sales trends πΉ Tools Used β’ SQL β’ Tableau πΉ Key Insights β’ A small customer segment drives most revenue β’ Certain product categories consistently outperform others β’ Clear seasonal sales patterns πΉ What I Learned β’ Writing efficient SQL queries for analysis β’ Translating numbers into business-friendly visuals β’ Designing dashboards that support data-driven decisions
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CUT Coffee β Brew Your Story I reimagined CapCut as a premium coffee brand for creators. The scissors become a cup mark. The timeline becomes a film-strip sleeve. Every great story begins with a cut. Direction A β CapCut as a Different Industry https://www.linkedin.com/posts/abuaasif_capcutdesignstudio-branddesign-capcut-activity-7467333219772952576-53vt?utm_source=share&utm_medium=member_desktop&rcm=ACoAACRm5rcB0nVG0_HUX6-IXfuWqNGquZ-jMQU
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69
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(3)
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VARSHA ZOKE
Pune, India
MS PowerBI certified DataAnalyst | Get results, improvements
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MS PowerBI certified DataAnalyst | Get results, improvements
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Cricket WorldCup Dashboard
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7
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Swiggy Instamart Sales Dashboard
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80
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HR Analysis For Attrition
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3
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Ateeb Mahedvi
Pune, India
Data Analyst | Transforming raw data into clear insights.
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Data Analyst | Transforming raw data into clear insights.
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HR Analytics Dashboard
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2
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Excel Sales Dashboard Project
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1
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Instagram Reach Analysis with Power BI
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Flipkart Sales Analysis Dashboard
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Data Visualizer
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Manigandan Acharya
Mumbai, India
Data Specialist for Clean, Organized & Smart Reports
New to Contra
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Data Specialist for Clean, Organized & Smart Reports
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π Sales Tracking Dashboard | Excel + Power BI Project Built an end-to-end interactive Sales Tracking Dashboard covering 2021β2024 across the entire US market. Top-Line Numbers: π° Total Sales: $19,28,888 π Total Profit: $2,47,962 π₯ Total Customers: 8,314 across all years What the dashboard reveals: π Best-selling sub-categories: Phones ($2,79,464) and Chairs ($2,77,058) lead the pack β together accounting for nearly 29% of all sales π Profit growth year-on-year: β 2021: $49,556 β 2022: $61,618 β 2023: $81,786 β consistent upward trajectory across Furniture, Office Supplies & Technology πΊοΈ 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 β a clear signal for regional strategy review. π¦ Technology drives profit β highest-margin category across all 4 years, despite Furniture holding significant volume π§Ύ Seasonal trends: Q4 is king β November ($2,34,013) and December ($2,41,464) are the strongest months. February dips to just $59,640 β opportunity for targeted campaigns. π€ Top customer by profit: Tamara Chand at $8,981, followed by Raymond Buch ($6,939) and Sanjit Chand ($5,757) Tools used: Microsoft Excel Β· Pivot Tables Β· Power Query Β· Charts & Slicers Β· Dashboard Design This project sharpened my ability to turn raw transactional data into a clean, decision-ready visual β with filters for state, date, year, sub-category, and month. Open to feedback! π #Excel #DataAnalytics #SalesDashboard #DataVisualization #BusinessIntelligence #MicrosoftExcel #DashboardDesign
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π¦ 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 β something they simply didn't have before. What the data revealed: β Net-positive portfolio: $435.8M disbursed, $473.1M recovered β οΈ 13.8% bad loan rate = $28.25M net capital loss π Debt consolidation drives nearly half of all loan applications β³ 73% of borrowers chose 60-month terms over 36-month π 60%+ of repayments concentrated in just 5 states (CA, NY, FL, TX, NJ) Tools used: PostgreSQL β Excel β Power Query β Power BI + DAX Built two interactive dashboards: β Summary: KPI cards, good vs. bad loan segmentation, loan status grid β 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 π #PowerBI #DataAnalytics #SQL #DAX #BankingAnalytics #PortfolioAnalysis #DataVisualization
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I Built a two-page Power BI dashboard on 190K+ FMCG transactions β 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 Β· DAX Β· Excel
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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 Β· DAX Β· PostgreSQL Β· Power Query
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44
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Tejas Shinde
Mumbai, India
Merging insights with storytelling
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Merging insights with storytelling
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Ipman201/Cognizant_AI_Internship
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3
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Ipman201/Time-Report-Swords-Freelance-Work
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2
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GitHub - Ipman201/Basic-Statistical-Analysis-of-Job-Data-Freelaβ¦
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26
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