Freelance Data Modelling Analysts in PunjabFreelance Data Modelling Analysts in Punjab
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KAZIM HAIDER SYED's avatar
KAZIM HAIDER SYED
Lahore, Pakistan
Data Analyst | Logo Design | Video Editing |
New to Contra
Data Analyst | Logo Design | Video Editing |
Cover image for Built an interactive sales dashboard
Built an interactive sales dashboard to analyze Nike product performance. Used Power BI to visualize trends, revenue, and customer insights. Enabled data-driven decision-making through clear and actionable visuals.
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Cover image for Dashboard Overview: A Three-Pillar System The
Dashboard Overview: A Three-Pillar System The interface is divided into three functional tabs, providing a comprehensive view of the product lifecycle: The Home Tab (Product Showcase): * Features a sleek carousel of iconic models like Air Jordan 1 Low SE, Jordan Aerospace 720, and Air Max 97. Provides high-quality product imagery alongside narrative descriptions of the shoe's heritage and design features. The Review Tab (Sales Performance): Displays critical KPIs: Total Profit (reaching up to $1.21M for the Air Jordan 5 Retro), Total Units Sold, and User Ratings/Reviews. Uses a "Sold Out" badge to visually highlight high-demand inventory. The Analyse Tab (Geographic Insights): Visualizes regional performance through "Units Sold by Region" line graphs and "Profit by Region" bar charts (categorized into South, Northeast, Southwest, and Midwest). Key Insights for Portfolio Posting If you are listing this project on Contra or LinkedIn, highlight these technical and business strengths: Integrated UX/UI Design: The dashboard seamlessly transitions from a retail catalog to a data-heavy analytics tool, maintaining a consistent brand aesthetic. Data-Driven Decision Making: By linking specific shoe models to regional profit data, the dashboard allows managers to see exactly where a product is trending (e.g., higher profit in the "South" vs. "Midwest"). Interactive Navigation: The bottom carousel serves as a global filter, allowing the user to switch products and instantly update the sales and geographic data across all tabs. Technical Skillset Demonstrated Data Visualization: Mastery of multi-series charts and KPI cards. Frontend Design: Clean, "Nike-inspired" minimalist layout with high attention to white space and typography. Business Intelligence: Creating a closed-loop system where product features are directly tied to financial outcomes.
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Cover image for Project Title: Pizza Sales Insights
Project Title: Pizza Sales Insights Dashboard Tools Used: Power BI | Excel | SQL | Data Cleaning Project Overview I transformed a complex dataset of pizza transactions into a high-impact, interactive dashboard designed to optimize restaurant operations. The goal was to identify peak ordering times, popular products, and sales trends to improve inventory management and staffing. Key Features & Insights Sales Performance Tracking: Real-time visibility into Total Sales ($152K) and order volumes to track growth against business goals. Peak Time Analysis: Identified that orders peak significantly during the evening hours (51.87%), allowing for better staff scheduling. Product Popularity: Segmented sales by category, showing that "Classic" pizzas drive the highest volume (15K orders). Customer Behavior: Analyzed order patterns by day of the week, pinpointing high-demand days to optimize marketing spend. The Technical Edge To build this, I performed extensive Data Cleaning and transformation to ensure accuracy across thousands of rows. I focused on a "clean-UI" design approach to ensure that even non-technical stakeholders can find answers in seconds. Why this matters for your business: "Data is just numbers until you can see the story. I build dashboards that help you stop guessing and start growing based on facts."
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Cover image for ☕ Cafe Sales Dashboard |
☕ Cafe Sales Dashboard | Power BI Transformed raw cafe sales data into a clean, interactive dashboard that tells the full business story at a glance! 📊 Key Insights Covered: ✅ 10K+ total transactions tracked ✅ 8 menu items analyzed (Coffee to Smoothies) ✅ Daily sales trends monitored ✅ Payment method breakdown (Cash | Credit Card | Digital Wallet — each ~33%) ✅ In-store vs Takeaway location split (almost 50/50!) ✅ Monthly stock fluctuations identified ✅ Item-wise price vs quantity comparison 🛠️ Tools Used: Power BI | Data Cleaning | DAX | Data Visualization Data doesn't just sit in spreadsheets — it tells stories. This dashboard helps cafe owners make smarter decisions about stock, pricing & customer behavior. 📈 💬 Drop a comment if you want me to build something like this for your business
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Data Modelling Analyst(4)
Ali Hassan's avatar
Ali Hassan
Rawalpindi, Pakistan
Transforming Data into Actionable Insights 🔍
Transforming Data into Actionable Insights 🔍
Cover image for SALES PREDICTION USING PYTHON
SALES PREDICTION USING PYTHON
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Cover image for IRIS FLOWER CLASSIFICATION
IRIS FLOWER CLASSIFICATION
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Cover image for Titanic Analysis Project
Titanic Analysis Project
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Cover image for Bikes Sales Analysis
Bikes Sales Analysis
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Data Modelling Analyst(3)
Usama Zulfiqar's avatar
Usama Zulfiqar
Gujranwala, Pakistan
A senior full-stack developer and AI/ML specialist
A senior full-stack developer and AI/ML specialist
Cover image for Twin Frontend (Lyona App) is
Twin Frontend (Lyona App) is a dual-platform conversational AI application designed to power both web and mobile experiences from a single shared codebase. Built with a modern monorepo architecture, the platform enables real-time AI conversations, voice interactions, and dynamic interface rendering, allowing businesses to deploy scalable conversational products quickly. The system addresses the challenge of building and maintaining separate applications by unifying business logic, UI behavior, and communication layers across platforms, reducing development time while ensuring consistent user experiences. The platform is built for organizations developing AI assistants, customer support tools, SaaS dashboards, or conversational applications that require real-time responsiveness and cross-device synchronization. Users can interact with AI through text or voice, while the interface dynamically adapts based on backend-driven UI configurations. With enterprise-grade performance, secure authentication, and real-time updates, the application supports scalable deployments and continuous feature expansion without rebuilding separate frontends. The application includes real-time AI chat with streaming responses, voice recording and playback for conversational interaction, dynamic UI rendering with dashboards, forms, tables, charts, and interactive components, cross-platform synchronization between web and mobile, push and in-app notifications, secure authentication and session handling, role-based access control, performance optimization with lazy loading and memoization, automatic reconnection and error handling, and shared state management ensuring consistent behavior across devices. Built using React, React Native, TypeScript, Tailwind CSS, Ant Design, Material UI, Redux Toolkit, Socket.IO (http://Socket.IO), Docker, Kubernetes, and modern CI/CD infrastructure. A scalable conversational AI foundation designed to accelerate development of real-time, cross-platform AI applications for enterprise and SaaS environments. #ConversationalAI #React #ReactNative #SaaSDevelopment #AIApplications #RealtimeApps #TypeScript #WebDevelopment #MobileDevelopment #EnterpriseSoftware #Monorepo #ReduxToolkit
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Cover image for Kua Sky is a niche
Kua Sky is a niche e-commerce brand built exclusively for the skydiving community, offering premium performance clothing and gear designed for athletes who demand both function and style in the air. The platform solves a real gap in the market skydiving apparel has historically been generic or limited by delivering sport-specific gear, from freefly jumpsuits to outerwear and accessories, all tailored to the demands of the sport and the identity of the athlete wearing it. What sets this project apart is the custom suit designer, a live interactive coloring application that lets customers design their own jumpsuit and visualize the final product in real time before placing an order. This eliminates purchase hesitation and dramatically improves buyer confidence for high-ticket items. The store also supports custom jersey and face shield orders, a curated catalog of in-stock and sublimated jumpsuits, free shipping incentives, international shipping, gift cards, and a brand ambassador program that drives community-led growth. The platform is built on WordPress with WooCommerce handling the full e-commerce experience, supported by a custom visual product configurator, wishlist functionality, and an integrated account and order management system. Kua Sky is a strong example of a vertical commerce build purpose-built for a passionate niche, with the kind of customization tooling and brand depth that turns first-time buyers into loyal community members. #ecommerce #woocommerce #wordpress #customproductdesigner #nicheecommerce #sportswear #outdoorapparel #skydiving #customclothing #visualconfigurator #brandbuilding #onlineshop #performancegear #webdevelopment #shopdesign
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Cover image for VendorInvoiceHub (VIH) is an enterprise-grade
VendorInvoiceHub (VIH) is an enterprise-grade SaaS platform built to streamline vendor invoice acquisition, processing, and contract cost validation for retail chains and convenience store operators. The platform eliminates manual invoice reconciliation by automating invoice ingestion, extracting line-item data, and validating vendor pricing against negotiated contracts. This helps businesses detect overbilling, reduce operational overhead, and gain full transparency into vendor performance while managing multiple organizations within a secure multi-tenant environment. Designed for finance teams, store managers, and operations leaders, VendorInvoiceHub provides a centralized system to manage invoices, vendors, stores, and pricing agreements in one place. The platform supports high-volume invoice processing, AI-powered data extraction, and real-time analytics, allowing businesses to track compliance, identify cost discrepancies, and improve procurement decisions. With cloud-based deployment and scalable architecture, the solution supports enterprise-level workloads while maintaining performance and data isolation across tenants. The system includes automated invoice ingestion via file upload or integrations, AI-powered OCR extraction of invoice data, contract cost validation with variance detection, vendor and store management, proof-of-delivery reconciliation, real-time dashboards and analytics, role-based user access, multi-tenant configuration, exception reporting, Excel and PDF exports, background processing for large workloads, error tracking, and audit logging to ensure reliability and compliance. Built using React, TypeScript, Tailwind CSS, Material UI, Django, Django REST Framework, PostgreSQL, Redis, Celery, AWS S3, Docker, and cloud deployment . A scalable financial operations platform that helps retail businesses reduce vendor overbilling, automate invoice workflows, and gain real-time visibility into procurement and cost performance. #SaaS #EnterpriseSoftware #React #Django #FinTech #RetailTech #InvoiceAutomation #B2BSoftware #CloudApplications #MultiTenant #AIProcessing #BusinessAutomation
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Cover image for ExpenseMate is a full-stack personal
ExpenseMate is a full-stack personal finance and expense tracking application designed to help individuals manage all their finances in one place. The platform allows users to create multiple accounts, track income and expenses, monitor balances in real time, and visualize spending patterns through interactive dashboards. It solves the common problem of scattered financial tracking by bringing bank accounts, cash, investments, and loans into a single, organized system that is easy to use and accessible from anywhere. The application is built for everyday users, freelancers, and small business owners who need better visibility into their financial activity. With secure user authentication and isolated data, ExpenseMate provides a reliable way to monitor financial health, identify spending trends, and make informed decisions. The clean dashboard, responsive interface, and real-time calculations create a smooth experience while maintaining accuracy across accounts and transactions. Users can create multiple accounts with different currencies, track income and expenses, transfer funds between accounts, manage personal loans, and organize transactions using hierarchical categories. The platform includes advanced filtering, search, and CSV export capabilities, along with interactive charts showing monthly trends and category-based spending. Additional features include drill-down analytics, account balance tracking, dark and light themes, secure authentication, and a responsive data table for managing transactions efficiently. Built using Next.js, TypeScript, Tailwind CSS, shadcn/ui, Supabase, PostgreSQL, Zustand, TanStack Table, and Recharts. A scalable and user-friendly finance tracking solution designed to simplify money management and provide clear financial insights for real-world use. #NextJS #Fintech #ExpenseTracker #PersonalFinance #WebApplication #FullStackDevelopment #TypeScript #Supabase #DashboardDesign #SaaSDevelopment
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Data Modelling Analyst(1)
zahid khan's avatar
zahid khan
Lahore, Pakistan
Skilled data entry expert delivering accurate and organized
Skilled data entry expert delivering accurate and organized
Cover image for I will clean, format, and organize your messy data in excel
I will clean, format, and organize your messy data in excel
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Cover image for I will convert, type, format from pdf to word or excel
I will convert, type, format from pdf to word or excel
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Cover image for I will provide lead generation and email scraping
I will provide lead generation and email scraping
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Data Modelling Analyst(1)
Shahid Imran's avatar
Shahid Imran
Lahore, Pakistan
Data Analyst | Power BI Developer | Excel, SQL, Python
Data Analyst | Power BI Developer | Excel, SQL, Python
Cover image for Beyond the 5 Stars: The Unseen Story in Amazon Alexa Reviews...
Beyond the 5 Stars: The Unseen Story in Amazon Alexa Reviews Everyone talks about how much people love their Alexa devices. The overall ratings are stellar (4.46/5 avg.), and yes, a dominant 76.35% of reviews are positive. But the real story is often in the shadows of that success. Despite 76% positive sentiment, 1 in 5 reviews are neutral/negative. Even 1-star reviews contain words like "Love," showing frustration from disappointed fans. The word cloud tells the real story: alongside "Great" and "Easy" sit "problems," "doesn't," and "disappointed." Mass appeal can mask specific, recurring failures. True excellence solves for the criticism hidden in the praise. #AmazonAlexa #VoiceTech #CustomerFeedback #SentimentAnalysis #DataAnalytics #ProductManagement #Tech #UserExperience #DataStorytelling #PowerBI
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Cover image for Mobile Sales & Customer Insights Dashboard
Mobile Sales & Customer Insights Dashboard
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Cover image for Superstore Sales Dashboard & Forecasting
Superstore Sales Dashboard & Forecasting
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Cover image for Customer Retention Analysis for E-commerce
Customer Retention Analysis for E-commerce
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Data Modelling Analyst(4)
Umair Irshad's avatar
Umair Irshad
Lahore, Pakistan
UX, Optimizing Operations & Virtual Assistance
UX, Optimizing Operations & Virtual Assistance
Cover image for Reporting Dashboards (KPI Monitoring)
Reporting Dashboards (KPI Monitoring)
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Cover image for Operations Management Optimization
Operations Management Optimization
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Cover image for Customer Experience Enhancement Campaigns
Customer Experience Enhancement Campaigns
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Data Modelling Analyst(1)