Freelance Data Visualizers in Hyderabad
Freelance Data Visualizers in Hyderabad
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Geethasree Naguboina
pro
Hyderabad, India
Excel & KPI Dashboards for Small Business Decisions
91
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Excel & KPI Dashboards for Small Business Decisions
2
Title: The difference between tracking data and understanding it Most businesses are tracking data. Very few are understanding it. There is a difference — and it shows up in how decisions get made. Tracking data means you have numbers somewhere. A spreadsheet updated every week. A report sent every month. An export sitting in someone's downloads folder. Understanding data means those numbers tell you something specific. This channel is growing. This SKU is draining margin. This client segment is not renewing. Something you can act on before it becomes a problem. The gap between the two is almost never about having more data. It is about structure. Unstructured data gives you a feeling that things are being measured. Structured data gives you a direction. I work with founders and business owners who have plenty of the first and very little of the second. The fix is usually simpler than they expect — not a new software, not a bigger team. Just a cleaner system around the data they already have. If your numbers are being tracked but not really being used — that is the gap worth closing first.
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Title: Your data is not the problem. The structure is. Most business owners I speak to are not short on data. They have spreadsheets. Exports. Reports sent every month. Numbers sitting in three different files that nobody looks at after the first week. The real problem is not missing data — it is data that cannot be read quickly enough to change a decision. A 5,000 row export tells you nothing at a glance. But a single dashboard showing revenue by channel, top performing SKU, and pending payments — that changes how a founder spends the next hour. I have seen this pattern across CA firms, D2C brands, and small businesses. The data exists. The structure does not. Clean structure means: One place for all numbers Metrics linked to actual decisions Flags that tell you when something needs attention — not just what the current state is If your data lives in scattered sheets and nobody is acting on it, the issue is not the data. It is the system around it. That is exactly what I fix.
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Most small business owners think they need expensive software to get their data under control. An ERP. A CRM. A dashboard platform. So they either spend lakhs on software they barely use — or they do nothing and keep drowning in scattered spreadsheets. Here's what I've seen actually work for small businesses: Not expensive software. Just organized data. A well-built Excel system can track your inventory, sales, expenses, and performance — all in one place. Clean. Automated. No monthly subscription. When I talk to founders and business owners, the most common situation I hear is: — Revenue tracked in one sheet — Expenses in another — Orders on WhatsApp — And no single view of how the business is actually doing The tool was never the problem. The structure was. If your data feels chaotic right now — you probably don't need new software. You need someone to organize what you already have. That's exactly what I do. Happy to build you a free sample dashboard based on your business — just drop a comment or DM me.
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Why Excel still beats expensive software for small businesses Most small business owners I talk to feel like they should be using some fancy CRM or ERP system. But here's the truth nobody tells you: For businesses under 50 people, Excel done right beats expensive software almost every time. Here's why 👇 1. You already have it No subscription. No onboarding. No monthly fees. Excel is sitting right there. 2. It bends to your business Software forces you into its structure. Excel fits around your workflow — your terms, your columns, your logic. 3. Your team already knows it No training required. Everyone from the accountant to the sales person can open and read a well-built Excel file. 4. One clean file beats 3 scattered tools I've seen businesses track leads in WhatsApp, revenue in a notebook and expenses in their head. One organized Excel dashboard brings it all together. The problem was never Excel. The problem was never having it set up properly. What tool does your business currently use to track data?
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(19)
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Mujtaba Quadri
Hyderabad, India
Data Analyst | SQL • Python • Excel • Power BI • Tableau
New to Contra
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Data Analyst | SQL • Python • Excel • Power BI • Tableau
1
This Project Involved The Development Of A Comprehensive Financial Intelligence Suite Designed To Monitor Corporate Fiscal Health And Strategic Growth Metrics. Utilizing A Unified Data Model Engineered Through Complex SQL Aggregations, The System Integrates Disparate Transactional Streams Into A High-Fidelity Executive Dashboard. The Analysis Focuses On Critical Performance Indicators Including Total Gross Profit ($24.83M), Net Margins (15.6%), And Year-Over-Year (YoY) Revenue Trends. By Implementing Dynamic Profit Contribution Models And Expense Categorization, The Project Provides Stakeholders With Granular Visibility Into Net Profitability Across The Entire Client Portfolio, Facilitating Data-Driven Resource Allocation And Identifying A 20.4% Sustained Growth Trajectory.
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"I Developed An Automated Python Pipeline To Process And Categorize Over 1,000 Customer Reviews. Using The Pandas Library, I Built A Logic-Based Scoring System That Translates Raw Text Into Actionable Sentiment Insights, Helping Product Teams Identify Critical Issues In Real-Time."
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Turning 2.4M+ rows of raw data into business intelligence. 📊 Just wrapped up this end-to-end Swiggy Analytics pipeline. I used SQL to model complex data—calculating KPIs like Customer Lifetime Value (CLV)—and pushed the results to Power BI and Tableau for live, interactive visualization. 🔹 Focus: 99% data accuracy. 🔹 Credential: NASSCOM-Certified Analyst. 🔹 Status: Identity Verified & ready for new automation projects! #SQL #DataAnalytics #PowerBI #Automation #Freelance
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This Project Focused On The Architecture Of A Dynamic Operational Command Center Designed To Optimize Global Supply Chain Logistics And Inventory Management. By Integrating Multi-Source Data Streams Using Advanced SQL Querying, The System Provides Real-Time Visibility Into Key Performance Indicators Such As Order Fulfillment Latency, Inventory Turnover Ratios, And Regional Delivery Success Rates. Utilizing Sophisticated Data Visualization Techniques, The Dashboard Empowers Stakeholders To Identify Logistics Bottlenecks And Streamline Warehouse Operations. The Implementation Of Automated Trend Analysis Facilitated A Significant Reduction In Stock-Out Incidents And Enhanced Overall Operational Efficiency By Providing Granular Insights Into The End-To-End Supply Chain Lifecycle.
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Shaik Nawaz
Hyderabad, India
AI Engineer | Data Scientist | Machine Learning | Python |
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AI Engineer | Data Scientist | Machine Learning | Python |
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Healthcare Provider Fraud Detection
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Credit-Card-Fraud-Detection
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News Summarization & Hindi TTS Application
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Raju Krovidi
Hyderabad, India
Data Engineering & Visualization Specialist
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Data Engineering & Visualization Specialist
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Datawarehouse & Analytics
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Domain & Regulatory Process
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Program-Project Management
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1
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Krishna Chaitanya Mukundala
Hyderabad, India
Visualization Expert with Plotly Dash & Metabase Expertise
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Visualization Expert with Plotly Dash & Metabase Expertise
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Metabase Dashboards for Edtech
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Randomizer for Game Challenge
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Plotly Dash App for Options Trading
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6
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Rakesh Ranjan
Hyderabad, India
Data Analysis & Insight Generation Expert
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Data Analysis & Insight Generation Expert
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Sales Channel Analysis
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Revenue Opportunity Summary
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Product Strategy Implementation
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Optimized Power BI Dashboard for Sales Team
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Praveen Kumar Adepu
Hyderabad, India
Efficient data analyst and engineer
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Efficient data analyst and engineer
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Predictive Modeling for Customer Churn Prediction
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Data Integration and Transformation for Marketing Campaigns
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Data Visualization for Sales Performance Analysis
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Anusha S
Hyderabad, India
Data Engineer - Attention to Details
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Data Engineer - Attention to Details
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Data Visualization for a Marketing Agency
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Data Analysis for an E-commerce Business
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Data Architecture for a Healthcare Company
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