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.
Three builds. Analytics infrastructure, automation pipelines, and one AI agent.
Financial Intelligence Dashboard
Built reporting infrastructure from scratch for four business units across three countries. Before: four spreadsheets, four definitions of revenue, a two-day consolidation every month. After: one model, one report, one version of the numbers.
Automated Collection & Reconciliation
Python pipeline that matches bank credits against invoices across three disconnected systems — Zoho, Tally, and the bank feed. 87% auto-matched without human input. The rest is a 30-minute daily review. Full audit trail in Postgres.
Order Book v2 PRD
4,000-line PRD for a revenue ops platform. Got specific: sub-projects as the billing unit, invoice source-lineage fields, field inheritance logic, 8 build phases. The kind of spec that actually gets built from.
ClawBot — AI Personal Automation
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.
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.
Senior Associate — Data Analyst (Sales)
- Replaced manual weekly reports with live CRM + Looker Studio dashboards. The sales team got 60% of their reporting time back.
- Ran ROI/CAC analysis that actually changed where the team put budget — collection rates improved 35% after the reallocation.
Research Analyst — Associate (Business)
- Built the Gaming vertical from nothing to ₹60 L/month — competitor mapping, pricing benchmarks, partner targeting.
- Built Tableau dashboards for sales KPIs and structured a 400+ partner database that cut selection time in half.
Growth Intern
- Closed 10+ partnerships (₹54 L pipeline) in the first three months. Built the MIS and diligence packs that went into the Series A.
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
I build the systems that sit behind business decisions — the pipelines that clean and route data, the dashboards that replace the weekly spreadsheet argument, the automations that free analysts up to do actual analysis. Three years of that, across four business units and a few different domains.
Python, SQL, and Excel are the day-to-day. I spend a lot of evenings 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.
Hiring for a data or revenue ops role? Let's talk.
Best reached over email. Usually respond within 24 hours.