Freelancers using Google BigQuery in Chandigarh
Freelancers using Google BigQuery in Chandigarh
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Varun Sethi
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Chandigarh, India
Full-Stack Developer | React, Next.js, Node.js & Python
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Full-Stack Developer | React, Next.js, Node.js & Python
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I designed and built Distill IQ, a full-stack retail pricing intelligence platform for a US-based liquor business. The application processes and presents large-scale pricing data through interactive product surveys, competitor comparison analytics, raw data exploration, and user/access management. I worked across the React frontend, Python backend, APIs, BigQuery data layer, business logic, and UI components to build the platform from the ground up. Key features: Pricing Survey: 5,200+ SKUs, 110+ brands, search and advanced filtering Competitor Analytics: Compare products across markets with average, median, mode, price ranges, and price gaps Market Analytics: Interactive price distribution, historical trends, and competitor comparison Raw Data Explorer: BigQuery-backed data exploration with filtering, pagination, and export User Management: User accounts, roles, permissions, market access, and catalog management Reusable UI: Tables, filters, cards, charts, forms, and responsive components
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Manufacturing Quality & Operations Platform I designed and developed the frontend for a production-grade manufacturing quality and operations platform used within a multibillion-dollar global consumer goods enterprise. The application brings quality workflows, production reporting, SKU management, plant-level analytics, and role-based operations into a single platform. I worked across the Next.js application architecture, UI/UX implementation, API integrations, authentication, state management, reporting workflows, and reusable component system. Key areas - Operations & Reporting: Adoption, SKU Plant Summary, Plan vs Actual, PCP Tracker, PCRO and CRQS reports - Quality Workflows: Product/SKU management, barcode scanning, product -verification and multi-step SKU creation - LQA Operations: Pending SKU workflows, employee/site selection, product details, barcode capture and validation - Shift Supervisor: Employee selection and role-specific workflows - Analytics: KPI cards, donut/bar charts, trends, filters and deep-dive analytics - Admin: Site management, user profile, role-based access and protected routes - Reusable UI: Tables, charts, cards, modals, forms, tabs, filters, dropdowns and navigation components
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Hi, I designed and developed Quality Station, a web application for managing and analysing manufacturing quality checks. The product brings together quality dashboards, product management, inspection sessions, AI-based analysis, defect detection, user management, and activity tracking into a single interface. The UI was designed in Figma and implemented as a functional React/Next.js application, with a reusable component system, responsive layouts, interactive charts, data tables, filters, modals, forms, and multi-step workflows. Key areas I worked on include: - Analytics dashboards and quality monitoring - AI performance and defect analysis - Quality sessions with product/barcode verification - Weight, barcode, and OCR analysis - Live image and analysis views - Product management and configurations - User roles and access management - Activity tracking - Reusable tables, charts, forms, filters, and UI components
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AI Data Assistant Inside Tableau I built an AI-powered chatbot for Tableau that allows users to interact with their existing dashboards and data through natural-language questions. Instead of manually navigating through multiple Tableau workbooks to find a specific metric or insight, users can ask the assistant what they need and receive relevant information from the available Tableau data and dashboards. The solution adds a conversational AI layer directly to the existing BI workflow, helping users explore their data and find the right dashboard or report without changing how their Tableau environment is structured.
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