Projects using Google Sheets in SindhProjects using Google Sheets in Sindh
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Cover image for Good Google Ads optimization starts
Good Google Ads optimization starts at the keyword level. 🔎 Here’s a small snapshot from a Google Ads campaign for a cleaning business in Toronto. A few things immediately stand out: → “move out cleaners” — 100% CTR on the data shown → “house cleaning Toronto rates” — 15% CTR with 3 clicks → “regular cleaning service” — 16.67% CTR → Different keywords are producing clicks at very different costs But I wouldn't immediately call the 100% CTR keyword a winner. Why? Because 1 click isn't enough data. This is where campaign optimization becomes more than just looking at a dashboard. I look at: Search intent → CTR → CPC → conversions → lead quality The goal isn't to get clicks just because they are cheap. The goal is to find the searches that represent real buying intent and turn them into qualified leads. If you're running Google Ads for a local service business and your campaign is getting clicks but not enough customers, the problem may be hiding at the keyword level. That's the kind of optimization I focus on.
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Cover image for Email-to-Sheet Lead Tracker – Automate
Email-to-Sheet Lead Tracker – Automate Gmail Data Capture I built an automated lead capture system that instantly saves important emails to Google Sheets, eliminating manual data entry and ensuring no lead ever gets missed. How it works: Trigger: When an email with a specific label (e.g., "Lead," "Inquiry," "Sales") arrives in Gmail Action: Automatically creates a new row in Google Sheets with key email details Data Captured: Sender name and email address Email subject line Date and time received Link to the original email Business Impact: Saves 5-10 hours per week of manual data entry Never lose track of potential leads or important client communications Creates a searchable, sortable database of all inquiries Enables easy reporting and follow-up tracking Tools Used: Zapier, Gmail, Google Sheets
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Cover image for Enterprise-Level Cloud Storage Optimization (186GB
Enterprise-Level Cloud Storage Optimization (186GB Data Management) Project Overview: I managed and organized a massive Google Drive repository exceeding 186.4 GB for a high-volume client. The primary objective was to transform a cluttered storage space into a highly efficient, searchable, and cost-effective digital filing system. The Challenges: Massive Data Volume: Over 186GB of unorganized files, including high-res media, documents, and archives. Redundancy: Significant storage wastage due to thousands of duplicate files and outdated versions. Accessibility Issues: Lack of a logical folder hierarchy made it nearly impossible for the client to retrieve specific files quickly. My Solution & Workflow: Comprehensive Data Audit: Conducted a deep-dive analysis to identify duplicates, "ghost" files, and junk data. Custom Folder Architecture: Engineered a multi-tier folder system based on project type, chronological order, and file priority. Optimization & Cleanup: Purged redundant data to maximize storage efficiency and implemented a standard naming convention for future files. System Training: Provided a streamlined workflow to ensure the client can maintain the organization long-term. The Results: 186.4 GB Managed: Successfully handled large-scale enterprise data without a single byte of loss. Zero Clutter: Achieved a 100% organized workspace. Enhanced Productivity: Reduced file retrieval time from minutes to seconds through intuitive categorization.
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Cover image for I recently engineered a real-time
I recently engineered a real-time tracking system for a school to replace static reports with continuous feedback. Using a Google Sheets-to-Looker Studio pipeline, I automated the transition from raw teacher observations to parent-facing insights. Key Deliverables: Live Pipeline: Structured Sheets input for teachers to log 12+ data points per student daily. Grit Scoring Engine: Built custom logic weighting effort over mastery using cohort benchmarks. Dynamic URL Security: Implemented unique, filtered dashboard links for secure parent/student access. Automated Insights: Built-in trend indicators (Improving/Stable/Declining) for instant intervention. The Impact: The client now uses a live command center that eliminates manual reporting and provides real-time actionable intelligence.
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Cover image for // I engineered a custom
// I engineered a custom B2B lead generation pipeline to automate the identification and structured data collection of high-value prospects on professional networking platforms. Targeted Intelligence: Built a custom scraping engine to filter and identify prospects based on specific job titles, industries, and company sizes, ensuring only high-quality leads enter the pipeline. Automated Data Aggregation: Designed a systematic workflow to extract and export clean, formatted contact lists directly into Excel/Google Sheets, ready for immediate sales outreach. Human-like Interaction: Implemented randomized session intervals and navigation patterns to maintain account safety and ensure full platform compliance. Workflow Efficiency: Reduced manual research and data entry time by over 80%, allowing sales teams to focus entirely on closing deals rather than prospecting. Outcome: This solution provides a scalable, automated engine for consistent lead growth, enabling businesses to fill their sales funnel with verified, targeted professionals on autopilot.
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