Projects using Microsoft Power BI in IndiaProjects using Microsoft Power BI in India
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Cover image for The biggest pain point I
The biggest pain point I see with business data: Everyone has a CRM. Almost no one trusts the reports it generates. Here's why that happens — CRMs are built to store data. Not to analyze it. Not to present it. Not to answer the specific questions your business actually needs answered. So what do most business owners and managers do? They export the data to Excel anyway. But here's the real problem — the exported data is messy. Duplicate entries, inconsistent naming, blank fields, merged cells that break everything. The CRM gave you the data but not the clarity. This is exactly where I see businesses lose hours every week — manually cleaning exports, rebuilding the same reports, and still not getting a clear picture of performance. What actually helps: ✅ A clean Excel structure that works with your CRM export — not against it ✅ Automated formatting so every export lands clean ✅ A dashboard that answers your actual business questions — revenue by period, pipeline by stage, team performance — in one view Your CRM tracks your business. Excel helps you understand it. If your team is still spending hours cleaning CRM exports every month, that's a problem worth solving. #Excel #DataAnalysis #CRM #Dashboard #SmallBusiness #Hyderabad #Freelance
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Cover image for I specialize in transforming complex
I specialize in transforming complex datasets into intuitive, visually compelling dashboards that drive strategic decision-making. With deep expertise in BI tools and data analytics, I design interactive, real-time reporting systems that help businesses uncover trends, monitor KPIs, and optimize performance. My approach combines data storytelling, clean UI/UX, and scalable architecture to deliver impactful insights. 🔹 My Project Portfolio: 📊 1. Executive Business Intelligence Dashboard Built a dynamic KPI dashboard for C-level executives Integrated multiple data sources (CRM, ERP, marketing platforms) Delivered real-time insights on revenue, growth, and performance Tools: Power BI, SQL, Azure 📈 2. E-commerce Analytics Dashboard Designed a dashboard tracking sales, customer behavior, and conversion rates Implemented cohort analysis and funnel visualization Improved marketing ROI tracking by 40% Tools: Tableau, Python, Google Analytics 📉 3. Financial Performance & Forecasting Dashboard Developed financial models and forecasting dashboards Visualized cash flow, P&L, and budget vs actuals Enabled data-driven financial planning Tools: Power BI, Excel, DAX 📍 4. Operations & Supply Chain Dashboard Created logistics tracking and inventory monitoring system Real-time alerts for stock levels and delays Reduced operational inefficiencies Tools: Looker Studio, BigQuery 📊 5. AI-Powered Analytics Dashboard Integrated machine learning predictions into dashboards Automated anomaly detection and trend analysis Delivered predictive insights for decision-making Tools: Python, TensorFlow, Streamlit
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Cover image for This Project Focused On The
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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Cover image for Optimize IT Service Management with Interactive Dashboard In...
IT Service Management Dashboard Project Developed an interactive IT Service Management dashboard to monitor ticket volume, incident trends, SLA performance, and support team efficiency. Analyzed operational support data to identify service bottlenecks, improve response times, and support data-driven operational decisions. Key Business Insights & Decisions: Monitored ticket creation and closure trends to improve operational efficiency Identified high-priority and high-severity incidents requiring immediate attention Tracked SLA compliance rates to reduce delayed ticket resolutions Analyzed support categories and work types to optimize resource allocation Evaluated top-performing IT agents based on ticket resolution performance Improved service quality monitoring through customer satisfaction analysis Dashboard Highlights: Ticket Volume & Closure Tracking SLA Performance Monitoring Ticket Priority & Severity Analysis Support Category Breakdown IT Agent Performance Analysis Customer Satisfaction Metrics Interactive Filters for Dynamic Reporting Skills Used: Data Cleaning & Transformation Exploratory Data Analysis (EDA) KPI Monitoring & Reporting Operational Data Analysis Data Visualization Dashboard Development Business Intelligence Reporting Insight-Driven Decision Making Tools & Technologies: Power BI • Excel • SQL • Python • DAX • Data Visualization
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