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Overdue invoices were also a growth problem. Payment follow-up helped partners resolve issues and get properties moving again.
A PORTFOLIO BY SHAHEER RAHMAN / VOL. 02
I find the friction between
a good idea and a useful result.
Then I build a way through.
Partner conversations. Messy data. Repetitive work.
A few places I’ve helped turn a bottleneck into a next step.
Showing all 3 field notes.
Overdue invoices were also a growth problem. Payment follow-up helped partners resolve issues and get properties moving again.
A property-data deduplication workflow that turned an estimated 100-hour manual task into 1–2 hours. Plus a self-service knowledge agent for recurring questions.
Prospect mapping, structured discovery notes, and clear next-step ownership. Small systems that made a handoff easier to act on.
Booking.com internship results, as reported in my résumé. Open a case for the context and scope.
More traffic isn’t always the answer.
Move a slider. Find the leak.
Take the useful part with you.
What if activation improved before you spent more on traffic?
expected first successful actions
₹500 ₹357
Improving activation from 25% to 35% adds 12 expected first successes at the same spend.
Illustrative inputs only. This models an assumption; it does not prove a lift. First success means a defined useful action, such as a successful API call. It is not necessarily a paying customer.
Build a campaign URL with consistent tags. Values are trimmed and spaces become underscores.
This adds tracking parameters to a URL. It does not send data or connect to an analytics account.
Useful work starts with a good question.
Then it needs somewhere to go.
Partner conversations and recurring team questions are useful signals. Understand the friction before choosing the fix.
A workflow, a landing page, a better handoff. Make the idea concrete enough for someone to try.
Define the action that matters. Separate activity from outcomes, and a useful result from an encouraging click.
Keep what works. Question what doesn’t. A result should change the next decision, even when the idea loses.
A 30-day activation experiment I’d bring to the team.
Concrete enough to ship. Measurable enough to question.
A builder arriving from a concrete voice-note demo may be more likely to make a first successful API call than someone arriving from a general feature overview.
A hypothesis to validate, not a claim about Sarvam’s current funnel.
Signup conversion · key creation · time to first success · repeat usage within 7 days
Review the existing onboarding path with the team, listen to developer questions, and agree on the activation event. Confirm that source, variant, signup, and server-confirmed API success can be linked with approved instrumentation.
DELIVERABLE / A funnel map, baseline rates, and an agreed measurement plan.In my first 30 days at Sarvam, I’d test whether a use-case-first voice demo helps new developers reach their first successful API call. I’d start by validating the activation event and baseline, then compare a concrete voice-note-to-text entry point against a general API overview using randomly assigned traffic. The primary measure would be first successful API calls within 24 hours per eligible visitor, with signup conversion, time to first success, errors, and seven-day repeat usage as diagnostics. I’d ship a small test in week two, work within an agreed sample and budget, and use the final two weeks to decide what to improve, stop, or extend. The funnel simulator and campaign URL builder in this portfolio are small examples of how I approach that work.
I’m an economics postgraduate and a Marketing PGDM candidate at IMDR, Pune. My work has taken me from hotel partner conversations at Booking.com to prospect research at NoBrokerHood and product demos at Mayasabha XR.
The thread running through it: understand the person, organise the information, and make the next action easier. AI helps me build faster. Asking better questions helps me build something useful.
Download my résuméPGDM · Marketing
IMDR, Pune · Expected 2027
MA · Economics
IGNOU · 2022–2024
BA · Economics
Dibrugarh University · 2022
MS Excel & MS Office
CRM documentation
Booking.com Extranet
AI-assisted workflows
English · Hindi
Booking.comAccount Executive Intern · Bengaluru
NoBrokerHoodBusiness Development Intern · Pune
Mayasabha XRMarketing Intern · Pune20+ demos/onboarding conversations · 50+ prospect touchpoints · 10+ restaurant & technical stakeholders