Projects using Microsoft Excel in IndiaProjects using Microsoft Excel in India
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Cover image for Title: The difference between tracking data
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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Cover image for 📊 Completed Project: Data Collection & Data Entry – Financi...
📊 Completed Project: Data Collection & Data Entry – Financial Services Recently, I successfully completed a Data Collection & Data Entry project for a client in the Financial Services sector. 📌 Project Highlights • Collected and organized data across multiple financial companies • Ensured accuracy, consistency, and clean formatting • Structured the data for easy analysis and future use 📌 Result • Comprehensive, well-organized dataset • On-time delivery with full client satisfaction I really enjoyed collaborating on this project—clear communication and defined goals made the process smooth and efficient. If you’re looking for reliable data collection, financial research, or accurate data entry, let’s connect. Fayyaz Ul Aziz Data Entry Specialist | Lead Generation Expert
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Cover image for This Project Involved The Development
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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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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Cover image for Bulk Product Uploading with Product
Bulk Product Uploading with Product Scraping In this project, I helped a UAE-based client migrate 10,000+ products from their Noon store to their newly created Shopify website lulucamel.ae (http://lulucamel.ae). The client wanted to shift their product sales from Noon to their own independent online store while maintaining accurate product data and SEO optimization. To achieve this, I developed a custom Python scraping script to extract complete product information from Noon, including titles, descriptions, images, prices, categories, and variations. After collecting the data, I converted it into a Shopify-compatible CSV format, ensuring all required fields matched Shopify’s import structure. Along with automation, I performed manual verification to validate product details, check formatting accuracy, and ensure error-free uploads. I also used ChatGPT API integration to generate SEO-friendly product descriptions and meta descriptions, improving product visibility and search rankings. Finally, I uploaded and reviewed all products inside Shopify to ensure proper display, accurate data mapping, and smooth functionality. This project combined automation + manual quality control, delivering fast, accurate, and scalable results, helping the client successfully launch their independent eCommerce store in the UAE.
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