Headline

Revenue & Commercial Operations | Deal Desk | Automation & Analytics

About

I work where deals, revenue and data meet. Six years in commercial and revenue operations across enterprise SaaS. I started on the deal desk, moved on to owning revenue and retention, and most recently built the systems and analytics that let commercial teams run faster. Adobe | Deal Desk Worked on 100+ enterprise contracts worth over $100M across Sales, Finance and Legal. Redesigned templates and workflows to cut contract turnaround by 30%. Spotted $52M in upsell potential through deal and usage analysis. TARS | Revenue and Retention Owned a $2.2M ARR book across 60+ accounts in APAC, EMEA and LATAM. Delivered ~120% NRR through churn-risk scoring, renewal forecasting and executive business reviews with clients including Tata, Vodafone and Netflix. KNOW | Automation and Analytics Built the data and operations functions from zero. Shipped SherLOQ, an AI analytics workflow on Jira and Cloudflare Workers that cut insight turnaround from 4 days to 30 minutes. Also built C-suite BoldBI dashboards, an AI support triage classifier, and early-warning signals for renewal risk. What I bring: the commercial judgement of a deal desk, plus the ability to build the automation and analytics that remove manual work from the revenue engine. Also a PhD scholar in Data Science at Christ University. Open to Revenue Operations, Commercial Operations and Deal Desk roles.

Location

Bengaluru

AI stack

claude code

codex

cursor

deepseek

opencode

Work experience

Travel at Career Break, Aug 2026 - Present · 2 mos

Head of Data, AI and Operations at KNOW App, Oct 2024 - Jul 2026 · 1 yr 10 mos, Chennai, Tamil Nadu, India, Running revenue operations and data for a frontline platform serving restaurant, retail, and logistics verticals. Built two functions from zero: a 10-person ops team and a 4-person data team - scouted, hired, onboarded, structured. Both now operating autonomously. What this actually looks like day to day: - Built SherLOQ: an AI-powered analytics request workflow (scope to delivery) integrated with JIRA and Cloudflare Workers - gave revenue teams self-serve access to insights and eliminated manual bottlenecks - Deployed C-suite BoldBI dashboards on PostgreSQL for real-time revenue and ops visibility - Built an AI triage classifier on large-scale CS email data - automated categorisation, faster response cycles - Designed Firebase org provisioning tooling that cut client onboarding friction significantly - Clients on our data products are consistently ahead of issues before they hit retention The through-line: revenue ops is only as good as the data layer underneath it. I build both.

Guest Faculty at Christ University, Bangalore, Aug 2024 - Oct 2024 · 3 mos, Teaching data science and analytics fundamentals to postgraduate students. What I teach, I've built in production - which makes the classroom more useful for everyone.

Customer Success Lead at Tars, Feb 2023 - Sep 2024 · 1 yr 8 mos, Bengaluru, Karnataka, India, Sole revenue owner for a $2.2M ARR book across 60+ accounts in APAC, EMEA, and LATAM. Two-person team (myself + one associate). Delivered ~120% NRR through structured onboarding, high-touch engagement, and data-driven churn intervention. Retention as a revenue growth engine, not a cost centre. Built the RevOps foundation while owning the number: - Automated ticketing, SLA tracking, and KB workflows - cut response time by 40% - Built real-time dashboards (CSAT, churn risk, ticket backlog) used by leadership for revenue forecasting - Ran 20+ executive Business Reviews with C-suite stakeholders, connecting product usage to commercial outcomes and unlocking expansion Clients included Tata, Vodafone, and Netflix.

Product & Analytics at The Hindu, Aug 2021 - Jan 2023 · 1 yr 6 mos, Chennai, Tamil Nadu, India, Embedded in the product and growth team building data products that drove direct revenue outcomes. - Drove conversion from 0.1% to 2.2% using ML cohort analysis to identify high-intent segments - a 22x improvement - Contributed to 40% B2B sales uplift by building revenue-enabling tools: Rasa chatbot, KPI dashboards, rent-vs-buy predictor, property hotspot identifier, semantic search engine First role where I understood that good data work doesn't end at the insight - it ends at the outcome.

Deal Desk Analyst at Adobe, Sep 2020 - Jul 2021 · 10 mo, Bengaluru

Education

Doctor of Philosophy, Data Science, Christ University, Bangalore

Master of Science - MS, Data Analytics, Christ University, Bangalore

Public links

github: https://github.com/jerry0097