Data Analysis Projects in Hyderabad
Data Analysis Projects in Hyderabad
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4
Geethasree Naguboina
pro
Most dashboards don’t have a visualization problem. They have a KPI problem. I’ve reviewed dozens of reporting systems recently and the pattern is consistent: Metrics are defined differently across sheets “Revenue” means one thing in finance and another in marketing KPIs are tracked… but not tied to decisions Dashboards look clean but don’t answer operational questions When metric logic isn’t aligned, teams don’t have a data problem. They have a decision problem. That’s why I’ve started offering a structured KPI & Revenue Diagnostic Audit — focused on: • Metric consistency • Reporting logic • Revenue driver alignment • Decision-readiness If you're building dashboards or scaling reporting systems, this layer matters more than design.
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Krishna Chaitanya Mukundala
Metabase Dashboards for Edtech
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Rakesh Ranjan
Sales Channel Analysis
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Varshith Gaddam
Stock Analysis Project with AutoGen
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1
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Naga Sai
Fifa20
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Yedla Naga Sathvik
Walmart Sales Data Analysis
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Shaik Nawaz
Credit-Card-Fraud-Detection
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Kaushik Chetlur
CaseStudy_PerformanceLawnEquipment: Dashboard
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Jayanthi Ambala
Streamlined Network Performance Audits
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Vikas Devarakonda
Designing and Architecture.
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MOHAMMED ABDUL RAFAY IMRAN KHAN
Data Analysis of IMDB KPI's
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Jason Jason
Feature Suggestion Report – Fitness Tracker MVP
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Venkata surya Abbur
GitHub - SuryaDataSci/Stable_Diffusion_AI: “Developed an AI-bas…
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Suhani kapoor
meehso
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Sohail Shaikh
MASTERX94/Xbox-Game-Recommendations
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Geethasree Naguboina
pro
Most dashboards fail before they are even built. Not because of bad charts. Not because of wrong formulas. Because the data underneath is structurally broken. Here’s what I see often in small businesses: • Dates stored as text • Multiple columns for the same metric • Inconsistent naming (Revenue / Sales / Total Sales) • Manual copy-paste every week • No clear data flow Then they ask: “Why doesn’t this dashboard update properly?” A dashboard is just a mirror. If the data structure is messy, the reflection will be distorted. Before I build any report, I focus on 3 things: Standardized column logic Single source of truth Repeatable data flow (no manual dependency) Clean structure → Reliable metrics → Better decisions. If your reporting feels fragile, the issue usually isn’t Excel. It’s the foundation.
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