DataTrend Dynamics designs autonomous AI agents and BI infrastructure for operators who are done throwing headcount at manual processes. Our systems are live in production right now — running hotel operations 24/7 with zero human intervention.
MBA in Business Analytics from LPU, with a background spanning hospitality operations, data analytics, and AI system design. I build the layer between "here's your data" and "here's what happens next" — autonomous agents, BI pipelines, and workflows that don't need a human sitting in the loop.
Gemini 2.0 Flash-powered agentic workflows (with a local Ollama fallback) that run guest services, booking confirmations, and alerting 24/7 with zero manual intervention.
Power BI and DAX-driven dashboards — from Netflix content analytics to Costco operations reporting — that turn raw data into decisions.
Local-first, Ollama-powered analytics engines with on-device inference — privacy-first BI that doesn't depend on the cloud.
Live autonomous systems processing real business operations. Not classroom projects — deployed infrastructure handling actual workflows.
Our SaaS product for hotels — AI concierge & front desk automation
Two boutique hotels replaced their repetitive front-desk admin with an autonomous AI concierge. Booking confirmations, guest memory, and owner alerts now run 24/7 with zero manual intervention — saving 100+ administrative hours every month across both properties. Live in production in Bareilly and Ramnagar.
Analyst-grade answers from your business data — without sending a single row to the cloud. Local-first BI engine with 10+ built-in analytical skills (segmentation, pricing waterfalls, risk scoring), running entirely on-device for full data sovereignty.
Decision-ready dashboards built on real-world datasets — Netflix content analytics, Costco operations reporting, factory asset-downtime tracking. Advanced DAX, data modeling, ETL pipelines.
Three sliders. Your team, your hours, your payroll. See what repetitive, rules-based work is burning every year.
You're burning roughly
= 2,080 hours of human time annually — on work a system can run.
Get This Number Audited arrow_forwardEstimate only: hours × loaded hourly cost derived from the salary you set (monthly salary ÷ 200 working hours). The paid Systems Audit replaces this estimate with your real number.