Freelance Data Visualizers in Islamabad
Freelance Data Visualizers in Islamabad
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Ali Hassan
Rawalpindi, Pakistan
Transforming Data into Actionable Insights 🔍
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Transforming Data into Actionable Insights 🔍
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Bikes Sales Analysis
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238
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Hotel Booking Project
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49
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Sales Insights
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65
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HR Analytics
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34
Data Visualizer
(5)
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Roman Rashid
Islamabad, Pakistan
I design SaaS products that turn visitors into customers
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I design SaaS products that turn visitors into customers
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Redesigning a Pharma CRM Landing Page.
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0
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Hospital Management CRM Redesign
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0
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Hospital Management CRM
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54
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SaaS website design.
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4
220
Data Visualizer
(2)
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Hammad Tariq
Islamabad, Pakistan
Data Warehouse Engineer | Cloud Enthusiast | Data Engineer
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Data Warehouse Engineer | Cloud Enthusiast | Data Engineer
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Google Data Pipeline
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20
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Dashboard Migration
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20
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ETL Processing On Google Cloud Using Dataflow and Big Query
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22
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Data Visualizer
(2)
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Haider khan
Islamabad, Pakistan
Software engineer skilled in data analysis, machin
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Software engineer skilled in data analysis, machin
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Child Labor Risk Analysis
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4
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Predictive Analysis for Hotel Booking Cancellations
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3
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Car Condition Prediction
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3
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Data Visualizer
(3)
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Shehzada Ammad Ali
Islamabad, Pakistan
Full Stack Developer| n8n | Framer| Kajabee| Webflow Expert
1x
Hired
43
Followers
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Full Stack Developer| n8n | Framer| Kajabee| Webflow Expert
2
Human Resource Intelligence Chatbot with SQL-Driven Data Visualization I developed an AI-powered HR chatbot that transforms natural language queries into actionable insights through SQL-driven analytics and automated visualizations. How It Works: HR asks questions in plain English AI generates/executes SQL queries Processes workforce data Outputs structured results or charts Key Features: Natural language to SQL conversion Real-time workforce analytics Automated data visualization Scalable integration with HR databases Extendable to other chart types
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176
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🚬 New Project: Migratory Story Excited to kick off a new Shopify project for Migratory Story, a premium cigar store. Services: Shopify setup, UI/UX design, Figma prototypes, ecommerce management, and sales-driven content. #Shopify #Ecommerce #PremiumCigars #UIUXDesign #Figma #DirectResponseMarketing
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139
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Rat Paw Detection with YOLOv8 + Gradio This project showcases a lightweight and intuitive web interface for detecting rat paws in images using a custom-trained YOLOv8 model. Built with Gradio, it allows users to upload an image and receive instant visual feedback with detected paws highlighted. Key Features: YOLOv8 object detection fine-tuned specifically for rat paw recognition. Interactive web app for image uploads and real-time inference. Built with Gradio for fast prototyping and deployment. Clean interface with automatic annotation overlay.
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183
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Contours Extraction & DXF Export from Images-AI-Based End-to-end computer vision solution that automatically detects objects in an image, accurately measures in real-world units, &exports result as a scalable DXF file. Key Features Uses background subtraction & morphological operations, extract objects from image, even in cluttered or noisy backgrounds. Detects known reference object (coin) in image & computes precise scaling factor (mm/px) using OpenCV contours & geometric heuristics. Clean object edges are extracted & converted into vector contours with pixel-level precision. Object outlines are transformed into vector splines & exported as .dxf files, fully compatible with CAD tools like AutoCAD, LibreCAD, SolidWorks, & Fusion360. User-friendly frontend for non-technical users to upload images & receive DXF files .
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178
Data Visualizer
(1)
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Nauman Khan
pro
Rawalpindi, Pakistan
AI Architect | SaaS, Voice AI & Automation
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AI Architect | SaaS, Voice AI & Automation
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Cyber Insurance & Security Threat Monitoring Portal
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4
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:React Native DeFi Wallet | Ethereum, ethers.js, Web3 & TypeScript
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25
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Web3 DeFi Wallet App | React Native · Token Send & Swap
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Heartly is built with one goal in mind:Â to help people find real, lasting relationships in a simple and elegant way. Whether you're looking for a life partner or a meaningful connection, Heartly provides a clean, intuitive experience that prioritizes quality over quantity.
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74
Data Visualizer
(1)
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Armughan Shahid
pro
Islamabad, Pakistan
AI SaaS Dev | LLMs, Agents, Voice & Automation | Web, Mobile
New to Contra
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AI SaaS Dev | LLMs, Agents, Voice & Automation | Web, Mobile
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OCR Receipt Parsing Microservice (AI-Powered Backend System) Most receipt-based systems fail because the data is messy, inconsistent, and spread across formats that machines don’t naturally understand. People don’t realise it, but the real problem isn’t capturing receipts, it’s turning them into reliable, structured data that can actually be used. This system removes that friction entirely. You send a receipt (image or PDF), and it comes back as clean, structured JSON ready to plug into any workflow. The core problem it solves: Receipt data is chaotic. Different formats, inconsistent naming, missing structure, and OCR noise make it hard to extract anything usable. Even when OCR works, the output is raw text, not something you can build logic on top of. This project builds a full processing layer that doesn’t just read receipts, it understands and standardises them. What was built: A backend microservice that acts as a structured data engine for receipts. The system accepts images or PDFs via an API, runs OCR, extracts merchant details, dates, totals, and line items, and converts everything into a strict JSON schema. But the real value sits in what happens after OCR. A normalization layer cleans and standardises item names so inconsistent inputs like “BANANA”, “Bananas”, or “Banana 1lb” all map to a single canonical item. Quantities and prices are cleaned, structured, and validated so the output becomes consistent across different stores and formats. The system can also plug directly into Airtable, pushing structured items into a live database, enabling automated workflows like pantry tracking, expense logging, or analytics pipelines without needing a full backend system. Everything is exposed through a simple /parse-receipt API, making it easy to integrate into mobile apps, SaaS products, or internal tools. Technical architecture: FastAPI-based microservice designed for simplicity and performance, with OCR powered by Tesseract or cloud services like AWS Textract and Google Vision depending on accuracy requirements. The parsing layer combines rule-based extraction with AI-assisted cleanup to handle real-world receipt noise. The system is fully containerized using Docker, deployable on platforms like Render or Heroku, and comes with OpenAPI (Swagger) documentation for quick testing and integration. Designed as a stateless service, it avoids database complexity and instead integrates with external systems (like Airtable), making it lightweight and easy to scale. Business value built in: This isn’t just an OCR tool, it’s a data standardization engine. The same system can power expense tracking apps, inventory systems, meal planning products, or financial analytics platforms. Because the parsing and normalization layers are modular, the microservice can be exposed as a standalone API, creating opportunities for reuse across multiple products or even external licensing.
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We Step Together - Step-to-Donation Mobile App
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Development of CarlsbergHub & ParkingHub
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Development of HonestDog Platform
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1
Data Visualizer
(1)
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Usman Ali | zyp
Islamabad, Pakistan
Code | Develop | Design
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Code | Develop | Design
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Financial Risk Analysis Model for Informed Investment Decisions
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13
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CRET - Cryptocurrency Wallet App
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14
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Website Design & Development Portfolio
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5
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Custom ERP System for Streamlining Industry Operations
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6
Data Visualizer
(1)
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