Freelance Data Analysts in Islamabad Capital Territory
Freelance Data Analysts in Islamabad Capital Territory
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Usama Idrees
Islamabad, Pakistan
Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
$10k+
Earned
13x
Hired
4.4
Rating
41
Followers
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Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
0
Amplitude Implementation & Dashboard Customization
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14
0
Serverless Architecture for Scalability & Efficiency at VMLA
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37
$501 earned
2
IT/AI Infrastructure Support
2
54
30
I’m Usama Idrees, IT & AI Specialist based in Islamabad, Pakistan. Thrilled to be part of this amazing community and to connect with talented Professionals from around the world! 🚀 A little about me: What I do: I lead tech and product strategy, focusing on building innovative solutions that empower businesses and individuals. Passion: Creativity meets technology — I love turning ideas into impactful products. Looking for: Collaborations with designers, developers, and creative minds who want to build something extraordinary. Excited to learn, share, and grow together here. If you’re working on something cool or looking for a tech partner, let’s connect! 💡 What’s your current creative project? Drop it below — I’d love to check it out. 👇
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30
856
Data Analyst
(2)
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Ayema Amir
Islamabad, Pakistan
Data Scientist | Data Analyst | Power BI Specialist
New to Contra
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Data Scientist | Data Analyst | Power BI Specialist
1
R Shiny Dashboard & Predictive Modeling for Heart Disease Risk
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1
1
Power BI & Financial Data Modeling for a Data Journalist
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1
0
AI-Driven Emergency Healthcare Platform Development
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1
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Grid Load Forecasting & Blackout Risk Intelligence
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1
Data Analyst
(2)
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Muzamil Tariq
Islamabad, Pakistan
Data Scientist & Analyst | Project Manager
New to Contra
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Data Scientist & Analyst | Project Manager
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Global Energy Consumption Analysis Project
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6
0
Industrial Predictive Maintenance System Development
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3
0
Machine Learning Model for Concrete Strength Prediction
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7
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Data Analyst
(2)
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Mahnoor Khan
Islamabad, Pakistan
Data analyst building dashboards for SMEs
New to Contra
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Data analyst building dashboards for SMEs
1
For a Predictive Analytics test model, I built two predictive models for clinical outcomes: a logistic regression classifier diagnosing tumours as malignant/benign (89.5% accuracy, 0.97 AUC) on the Breast Cancer Wisconsin dataset, and a multiple linear regression model predicting diabetes disease progression (R² = 0.49) from BMI, blood pressure, and cholesterol markers. Covered the full pipeline: EDA, multicollinearity diagnostics, train/test splitting, feature scaling, model evaluation, and individual patient-level predictions with clinical interpretation
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My university Final Year Project featured a full-stack retail demand forecasting and inventory dashboard built for a 20-branch Pakistani retail SME. I built the Python (Prophet) forecasting pipeline across 14 product categories on 57,000+ rows of historical POS data, with a React/Node.js web app and Shopify API connector replacing an initial Power BI plan. The dashboard generates monthly stock recommendations (order more / hold / reduce), seasonal demand patterns tied to local events like Eid and wedding season, and live model accuracy tracking.
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127
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Some snippets of the Data Visualisation I did for a brand's Financial Analysis on Microsoft Excel- they valued the revenue and sales quantity most, which explains the limited, yet precise insights. It shows climbing and retained trends which the owner would then use for his new order quantity for best and poor performing products.
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91
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Interior-OS: From Room Photo to Client-Ready Design in One Workspace Most architects and interior designers juggle 4-5 tools to get from a room photo and brief to a finished client presentation — one app for concepts, a spreadsheet for budgets, another tool for renders, and a fourth for the deck. We built Interior-OS to collapse that into one AI-powered workspace: → Upload a room photo + design brief → Generate realistic design concepts → Get a live, editable budget as concepts evolve → Export a client-ready presentation No exporting between tools. No re-formatting budgets by hand. Currently in beta — opening a small cohort to architecture and interior design professionals for structured feedback before public launch. 1 month of free access in exchange for testing real projects and sharing what works, what doesn't, and what's missing. Looking for professionals who work with residential or commercial interiors, renovation concepts, or client presentations regularly — your workflow is exactly what we're designing around. DM me if you'd like early access, or drop a note with what tools you currently use to get from concept to client deck — genuinely curious how others are solving this today.
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69
Data Analyst
(3)
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Muhammad Bilal
Islamabad, Pakistan
Data Analyst | Python, SQL, and Visualization
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Data Analyst | Python, SQL, and Visualization
0
GitHub - CodeNinjaLab/ecommerce-sql-insights: “SQL analysis pro…
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5
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Client Churn Prediction Model
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6
1
Pharmaceutical Sales Data Analysis
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7
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(3)
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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
0
Child Labor Risk Analysis
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7
0
Predictive Analysis for Hotel Booking Cancellations
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7
0
Car Condition Prediction
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5
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(3)
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Malik Ahmad
Islamabad, Pakistan
Growth Marketer with Analytics Expertise
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Growth Marketer with Analytics Expertise
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Amplitude Analytics Implementation & Dashboard
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30
0
Google Analytics 4 Setup & Dashboard
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17
0
Mixpanel Analytics Implementation & Dashboard
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22
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Bilal Aleem
Islamabad, Pakistan
AI Automation Expert | n8n | Make .com | LLM Integration
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AI Automation Expert | n8n | Make .com | LLM Integration
0
Built ZetaFin — an intelligent financial tracking and reporting system that gives business owners a real-time view of their Profit & Loss without touching a spreadsheet. The system connects to the client's revenue sources (Stripe, PayPal, bank feeds), expense trackers, and invoicing tools, then automatically categorizes every transaction using AI, calculates live margins, flags anomalies, and generates a clean P&L report delivered to the client's inbox every Monday morning. An AI analysis layer adds context to every report — explaining why revenue increased or dropped, which expense categories are trending up, and what actions the owner should consider. Built entirely on n8n with OpenAI for financial analysis and Google Sheets as the live dashboard. The client — an e-commerce founder — went from spending 3 hours every week manually reconciling finances to receiving a fully analyzed, actionable report automatically.
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Built ZetAI — a fully functional AI-powered voice agent that listens to spoken commands and executes real business tasks autonomously. Unlike basic voice assistants that just answer questions, ZetAI takes action: scheduling meetings in Google Calendar, sending emails with AI-drafted content, creating tasks in Notion or Airtable, pulling live data from CRMs, and triggering n8n automation workflows — all from a single voice command. The agent uses a speech-to-intent pipeline: voice input is transcribed, the intent is classified by an LLM, the appropriate tool or workflow is selected, executed, and a voice confirmation is sent back to the user. Supports multi-step commands like "Find my last 3 unpaid invoices, draft a follow-up email for each, and schedule reminders for Friday." Designed as a personal business operating system for founders and executives who want to run their entire operation hands-free.
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Designed and built Aixen AI a unified communication and lead management platform powered by multiple LLMs working in coordination. The system monitors and manages inbound leads across email, Instagram DM, WhatsApp, and Telegram simultaneously. Each channel has a dedicated AI agent that reads incoming messages, understands context and intent, generates appropriate responses, and escalates or routes leads based on qualification criteria. A central Lead Manager Agent maintains a live unified inbox view deduplicating contacts across channels, tracking conversation history, and scoring lead quality in real-time. Sales-ready leads are pushed to the CRM with a full conversation summary automatically. The client — a digital marketing agency — replaced a 4-person response team with this system, achieving sub-2-minute response times across all channels 24/7. Built on n8n with GPT-4o, Claude, and WhatsApp Business API.
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Built a production AI voice calling agent that autonomously pre-qualifies leads over the phone — no human needed on the line. The agent calls prospects from an enriched list, conducts a natural qualification conversation using a fine-tuned voice AI model, extracts key intent signals from the call, scores each lead as Hot / Warm / Cold, and instantly routes qualified leads to the sales team via CRM update and Slack notification. The entire workflow from list upload to qualified lead delivery — runs inside n8n. The client's sales team went from spending 6 hours per day on cold pre-qualification calls to receiving only pre-scored, context-rich leads ready to close. Call transcripts and scores are logged automatically for every single dial. Integrated with: Vapi (voice AI), n8n (workflow), HubSpot (CRM), Slack (alerts).
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18
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(1)
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