I work in the Founder’s Office at Mihuru in Mumbai. Before that, I worked on Google’s Pixel pricing through Smollan and on a hotel’s costs in Dharamshala.

  • 5%One of three vendors quoted without GST. Every comparison against it was off.
  • 1 of 12Zepto Mumbai slots in stock for a protein brand’s new launch. Blinkit had 8 of 8. Found unasked.
  • 32People in 7 countries used the pricing pipeline I pitched and built

The Divine Hima · Dharamshala · 2026

Can he find the number that is wrong?

My family’s nine-room hotel and its restaurant in Dharamshala. I have run its numbers since June 2026. No analytics team, no data warehouse.

  1. 5%

    One of three vendors printed prices without GST. The other two included it. Every comparison against that vendor was off by 5%.

  2. ₹139 to ₹113

    Rebuilt the cost of all 31 dishes from 17 vendor bills and 106 line items. The average cost per dish moved from ₹139 estimated to ₹113 actual. Modelled contribution up 28%.

  3. 73 to 31

    Cut the delivery menu from 73 items to 31 and repriced every survivor to a cost-derived target. Then checked every published price live against the plan. Exact match. The 31-item menu is live at these prices.

  4. 426 to 633

    Organic search sessions a month, July against the 30 days to 4 October, leaving out one guide that spiked on a cricket match. The growth came from the travel guides I published. Brand traffic to the homepage fell over the same months.

  5. 21 to 62

    Clicks through to the booking engine from organic search. Most of the jump came the week I found the Book Now button hidden on phones and swapped the room pages’ enquiry form for a button.

  6. ₹0

    Direct bookings from all of it so far. That is the open problem.

Google via Smollan · Aug 2024 to Mar 2026

Can he build the fix?

20 months at Smollan, a retail consultancy, supporting Google’s APAC and EMEA retail team.

  1. 2 to 4 hours

    Every week the analysis was assembled by hand: pull, clean, format.

  2. 1,000+ rows

    I built a Python pipeline that pulls 1,000+ rows of device and pricing data, adds AI-generated callouts and updates the dashboards on its own. It replaced the manual work.

  3. 32 people, 7 countries

    The dashboards were used by 32 people in 7 countries, including Mountain View, in the monthly Pixel pricing calls.

Also: quarterly intelligence decks from three-plus years of panel data across 33 APAC and EMEA markets.

Decisions

Does he have judgement?

Seven times I went against the obvious move. Once I was wrong.

Built on my own time

Does he ship unasked?

How I work

How does he work?

How I use AI. I use AI agents heavily to do the building. I do not use them to decide what is worth building. This site was built that way: I specified it, tested it and shipped it.

Writing

Contact

Based in Mumbai.

Happy to talk about anything on this page.

Email memkumbkarni@gmail.comLinkedIn

Chander Maurya Kumbkarni