Prateek KiranSenior Product ManagerCorrespond

PRATEEK KIRAN / SENIOR PRODUCT MANAGER

DEHRADUN, INDIA · 10+ YEARS

Practical clarity
for complicated
product work.

I’ve spent more than ten years helping teams build new products, improve data platforms, and deal with messy delivery work in healthtech and SaaS.

Read selected work
A working practice
Neoclassical architectural portico with marble columns and a central plinth
Product / platform / data
ESTABLISHED THROUGH PRACTICESCROLL TO CONTINUE ↓

I / PRINCIPLES OF PRACTICE

A method should be
simple enough to use.

Most product work gets clearer when the problem is understood, the plan is shared, and the team keeps looking at what changed.

I

Start with the real problem

Talk to the people closest to it, then write down what is actually getting in the way.

II

Make the plan usable

Set priorities, break down the work, and give everyone the same picture.

III

Check what changed

Use product data, feedback, and delivery signals to see what happened after release.

IV

Leave it stronger

Build something the team can keep improving after the first version is out.

II / SELECTED WORK

A few things
I’ve worked on.

These are not full case studies. Just a short look at the products, teams, and outcomes behind the work.

Neoclassical visual metaphor for Aloha ABA
I

Aloha ABA

Bringing a scattered legacy setup into one product.

Set the direction for a new AI and data platform, helping a care business move away from a fragmented set of tools.
What moved7 → 96 beta clients / five months
Neoclassical visual metaphor for Cognizant
II

Cognizant

Getting a large data programme into shape.

Worked on roadmap and delivery across data modernisation programmes with multiple teams, data sources, and priorities.
What moved4TB+ / 7 data sources / $390M+ programmes
III

Field Assist

Finding the next product opportunity.

Helped ship cross-selling products and used product behaviour and crash data to guide what the team fixed next.
What moved90% less manual effort

III / THE RECORD

A few numbers
worth keeping.

Some numbers from the work. They give a sense of the scale involved.

I7 → 96

Beta clients

Aloha ABA / five months

II4TB+

Data handled

Cognizant modernisation

III$390M+

Programme value

Data modernisation work

IV90%

Less manual effort

Product workflow

IV / BACKGROUND

What I bring
to the table.

Most of my work sits between product, data, and delivery. These are the areas I know well enough to be useful.

IEducationPGDM / IIM Udaipur2015—17
IIEducationB.Tech / DIT Dehradun2009—13
IIICertificationPMP · SAFe · Azure2020—25
IVDomainHIPAA · EVV · AI + DataHealthtech

V / CORRESPONDENCE

Want to talk
something through?

If you’re working through a product, platform, or data problem and think I might be useful, send me a note.

prateekkiran@gmail.com LinkedIn / prateekkiran ↗