Business value delivered through multi-agent LLM marketing analytics at MCM BPO.
2025
/ about
I'm Dharmik Baria, a data scientist and AI/ML developer based in Mumbai, currently shipping at MCM BPO (MyCountryMobile) — designing multi-agent LLM pipelines, ETL workflows, and full-stack platforms for marketing analytics.
One year shipping production work and nine builds out the door — from supervised models and conversational AI analysts, to BigQuery ETL, Looker Studio & Power BI dashboards, multi-tenant SaaS, and security/compliance contributions to a Rails 7.1 production stack. $100K+ in business value delivered, ten hours a week of repetitive analyst work automated away.
The work I'm proudest of is the part most teams skip — sitting with a stakeholder, naming the actual decision the data needs to drive, defining a metric, then ruthlessly cutting scope. I'm comfortable owning that loop end-to-end.
/ services
/ outcomes
Business value delivered through multi-agent LLM marketing analytics at MCM BPO.
2025
Saved weekly via autonomous executive summaries, anomaly detection, & Slack/WhatsApp alerts.
/ Recurring
Reduction in time-to-insight on Looker Studio & Power BI dashboards for Google Ads & web-leads KPIs.
/ Dashboards
Client brands running AI chatbots (Tiledesk, n8n, Supabase) & Vapi.ai voice outreach across 4 countries.
/ Production
Schema migrations on 115 tables on FloatChat — shipping 2FA, GDPR DSAR, & SIEM fan-out.
/ FloatChat
/ now
Updated weekly
/ Shipping
Scaling autonomous KPI anomaly detection, dashboard generation, and A/B reports on top of GA4 + BigQuery — saving the team 10+ hours a week at MCM BPO.
/ Reading
Working through circuits research, agentic-system evals, and how teams are measuring the new wave of multi-agent products in the wild.
/ Building
Small Python utilities, on weekends — a personal sandbox to test new stacks (FastAPI + DuckDB, Streamlit + Agno) before bringing them to client work.
/ contact
Have a project or need help? Fill out the form, or pick the channel you prefer — I reply within 24 hours.
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