I turn complex operational data into systems teams actually use.
Three years building reporting systems, automation pipelines, and the occasional AI agent. Based in Gurugram.
I build the systems behind the decisions.
Pipelines that clean and route data. Dashboards that replace the weekly spreadsheet argument. Automations that free analysts up to do actual analysis. Three years of that at EMB Global — four business units across India, the UAE, KSA, and the US.
Python, SQL, and Excel are the day-to-day. Evenings I spend with Claude Code and Codex — mostly building automation agents, which I find genuinely interesting beyond just the job. Outside work: electronic music and The Finals on PS5. Based in Gurugram.
Two builds: analytics and reporting infrastructure.
Each one replaced a manual workflow with something that runs on a schedule.
Order Book v2 PRD
ProblemRevenue ops platform lacked a spec anyone could actually build from.
4,000-line PRD for a revenue ops platform. Specific enough to build from: sub-projects as the billing unit, invoice source-lineage, field inheritance, 8 build phases.
ClawBot — AI Personal Automation
ProblemPersonal productivity fragmented across too many tools to track manually.
Personal automation agent built on the Claude API — runs daily via cron, handles expense parsing, habit tracking, and task scheduling. Also my main playground for agentic patterns.
Flatmate Expense Workspace
ProblemFlatmate grocery splits kept turning into WhatsApp arguments.
Local-first workspace that syncs Zepto orders, parses invoice PDFs into line items, and surfaces exceptions before they become arguments. Line-item tagging for partial-shared items, AI assist behind a human review gate, settlement-ready export.
One company, three years. Started closing partnerships, ended up owning the analytics infrastructure.
Assistant Manager — Data Analyst (Finance)
- Sole owner of the analytics function — built the reporting stack from scratch and kept it running. Weekly framework used by C-suite and department heads across three geographies.
- Cut reporting cycle time by 40% — moved data collection and validation off manual work and into automated Python and Power Query pipelines.
- Built BI dashboards tracking revenue pipeline, headcount, and campaign ROI. The single weekly reference for four cross-functional teams.
- Designed the cohort retention and LTV/CAC models that ended up in strategic investment presentations.
Senior Associate — Data Analyst (Finance)
- Built the BI framework from nothing for four entities across India, UAE, KSA, and the US — replaced ad-hoc spreadsheets with a proper data model and a reporting structure that didn't break every cycle.
- Power Query and VBA automation that cut manual reporting errors by 30% and saved ~15 hours a month.
- Put together the analytical data rooms for ~₹33 Cr in strategic investment rounds — revenue models, cohort curves, operational decks.
Tools I reach for daily.
My actual daily stack — not the theoretical resume version.
- Power BI
- Looker Studio
- Tableau
- Advanced Excel
- Cohort & retention modeling
- Stakeholder analytics
- Python (Pandas, Seaborn)
- SQL
- PostgreSQL
- Power Query
- VBA / Macros
- Git / GitHub
- Claude Code
- Codex
- LLM workflows
- Agentic orchestration
- Prompt engineering
- Resend / API integrations
Hiring for a data or revenue ops role? Let's talk.
Best reached over email. Usually respond within 24 hours.