Freelance Conversational Bots in Chandigarh
Freelance Conversational Bots 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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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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AI Data Assistant Inside Power BI I built an AI-powered chatbot directly inside Power BI to help users interact with their existing dashboards and data through natural-language questions. Instead of manually opening multiple dashboards to find a specific metric, users can ask the assistant a business question and receive a data-grounded answer along with the relevant report/dashboard source. The assistant works across multiple Power BI dashboards and can provide context from the available reports, making it easier to find insights without changing the existing BI environment. Key capabilities: - Ask questions directly inside Power BI - Connect with existing Power BI data - Search across dashboards and reports - Get relevant metrics and insights - Identify the source report/dashboard - Answer data-driven business questions - Work within existing BI infrastructure - Add a conversational layer to Power BI
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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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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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