Freelancers using Microsoft SharePoint in PakistanFreelancers using Microsoft SharePoint in Pakistan
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Ali Asghar's avatar
Ali Asghar
Pakistan
Full-Stack Developer | SaaS, AI & Web Apps
5.0
Rating
7
Followers
Full-Stack Developer | SaaS, AI & Web Apps
Cover image for Developed a complete SharePoint Online
Developed a complete SharePoint Online document review workflow using Microsoft Power Automate for engineering designs and technical reports. The automation triggers when documents are uploaded or updated, captures metadata, assigns multiple reviewers, tracks approvals and rejections, updates document statuses, and records reviewer decisions and comments in a dedicated Review Log. Integrated Outlook 365 notifications provide reviewers with direct document links, while SharePoint version history remains intact throughout the review process. The solution provides a clear, maintainable and auditable approval workflow within Microsoft 365.
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Cover image for AI Chatbots Should Do More
AI Chatbots Should Do More Than Just Answer Questions 🤖 I’ve been building AI chatbot solutions that go beyond basic Q&A. A useful business chatbot should be able to understand your company’s knowledge, answer customer questions accurately, capture and qualify leads, trigger workflows, and connect with the tools your team already uses. Recent solutions I’ve worked on include: → Custom knowledge-base / RAG chatbots → OpenAI & LLM integrations → Website AI assistants → WhatsApp & messaging integrations → Lead capture and qualification → CRM & API integrations → Human handoff workflows → Conversation history & analytics → Custom admin dashboards The goal is simple: turn AI into a practical business tool—not just another chat window. If your business has repetitive customer questions, manual lead handling, or information scattered across documents and systems, a custom AI assistant can automate a significant part of that workflow.
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Cover image for 🔧 Another website back online. Recently
🔧 Another website back online. Recently worked on Luna’s Ascension, a website that had gone down and was no longer functioning correctly. I diagnosed the underlying website/server issues, restored the site, resolved the problems preventing it from running properly, and brought the platform back online. Website recovery projects aren’t always about building something new — sometimes the real challenge is understanding an existing system, identifying what broke, and restoring it without disrupting the parts that already work. Work included: • Website troubleshooting & recovery • Server-side issue diagnosis • Existing codebase debugging • Website functionality restoration • Production environment fixes • Stability checks after recovery 🌐 Luna’s Ascension From broken websites to full-stack applications, I help businesses diagnose technical problems and get their platforms running reliably again.
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168
Cover image for Recently completed a full Odoo
Recently completed a full Odoo 14 → 18 migration and custom build for a multi-store cosmetics retailer. The project went far beyond a standard migration. ⚡ 12,000+ products migrated 🌐 Arabic & English catalogue 🏪 4 retail POS locations 🚚 Zone-based delivery across 600+ cities 💄 Custom makeup shade & variant experience 🔎 Advanced search and category filtering 💳 Custom website & POS pricing 🛠️ Legacy customizations rebuilt as maintainable Odoo 18 modules The goal wasn't simply to move the existing system to a newer Odoo version — it was to rebuild the underlying workflows properly while preserving critical business data. Tech: Odoo 18 · Python · PostgreSQL · OWL · QWeb #Odoo #OdooDevelopment #OdooMigration #ERP #eCommerce
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234
Microsoft SharePoint(1)
Moez Khan's avatar
Moez Khan
Pakistan
Data analytics & Machine Learning Expert
New to Contra
Data analytics & Machine Learning Expert
Cover image for Every month, your clinic bills
Every month, your clinic bills insurance. Every month, some of that money does not come back. Not because your billing team is not working. They are. But denied claims sit in a queue. Underpayments go unnoticed. AR ages past the point of recovery. And by the time someone runs the month-end report, the window to act has already closed. The problem is not effort. The problem is visibility and timing. Most clinics under $2M in collections do not have a system that tells them which claim was underpaid today, which payer is consistently short-changing them, or which AR balance has been sitting for six months. They find out too late or not at all. I built an RCM Intelligence system with Microsoft Power BI and Power Automate to fix exactly this. It sits on top of your existing billing workflow inside Microsoft 365. Your patient data never leaves your environment. Your billing team gets a live intelligence layer that surfaces underpayments at the claim level, ranks recovery opportunities by dollar value, and sends alerts when something needs immediate attention. No new software. No IT team required. No data leaves your ecosystem. If you are a physician practice owner watching collections trend in the wrong direction and wondering where the gap is, I built this for you. DM me, and I will show you what your own data looks like inside the system.
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Cover image for Revolutionize Cancer Analysis: Uncover Key Tumor Data with T...
569 real patients. 30 tumor measurements. Two outcomes. I wanted to know what cancer actually looks like in data. The answer is brutal. Concavity rises 249% in malignant tumors. Concave Points by 242%. The tumor doesn't hide. The data screams. Most people just aren't looking at the right signals. So I built a Tableau story that makes it impossible to miss. A scatter plot separating 357 benign from 212 malignant patients in one view. A lollipop chart showing exactly which features predict danger. Bubble cells that look like tumors under a microscope. And a dot matrix where every single dot is a real human being. 357 white. 212 pink. https://lnkd.in/dZs-ydsK (https://lnkd.in/dZs-ydsK)Every dot is a real person.
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Cover image for From reactive billing to predictive
From reactive billing to predictive revenue intelligence in US Healthcare Revenue Cycle Management. Built an end-to-end denial prediction model using XGBoost, integrated with Excel, and deployed in Power BI to surface high-risk claims before submission. Predicts the likelihood of denial at the claim level Helps billing teams prioritize and prevent revenue loss Translates complex ML output into actionable insights. Turning raw data into proactive revenue protection, not just reporting.
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77
Cover image for 569 real patients. 30 tumor
569 real patients. 30 tumor measurements. Two outcomes. I wanted to know what cancer actually looks like in data. The answer is brutal. Concavity rises 249% in malignant tumors. Concave Points by 242%. The tumor doesn't hide. The data screams. Most people just aren't looking at the right signals. So I built a Tableau story that makes it impossible to miss. A scatter plot separating 357 benign from 212 malignant patients in one view. A lollipop chart showing exactly which features predict danger. Bubble cells that look like tumors under a microscope. And a dot matrix where every single dot is a real human being. 357 white. 212 pink. https://lnkd.in/dZs-ydsK (https://lnkd.in/dZs-ydsK)Every dot is a real person.
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Microsoft SharePoint(1)