WHO

wE
are

We’re a small team, madly passionate about solving this problem.

We stay focused, work lean, and we’re growing faster than ever.

Every line of code, every idea — built to change how deals are found.

We stay focused, work lean, and yes we’re growing faster.

Heyy
I’m TusharI

I started as an engineer, built a decent Venture, but couldn’t land the exit I dreamed of. That experience pushed me into investment banking, where I’ve spent the last two years in M&A — mostly figuring out how to find the right buyeThe process felt broken, outdated, and full of guesswork.

So I teamed up with people who could code, model, and train AI... and DealZebra was born. built to solve the exact problem I once faced.

Tushar Deshmukh

Founder

Rasika Sarwade

Data Analyst & AI engineer

Hiiii
I'm Rasika

A student from IIT Roorkee. I'm passionate about data science, analytics, AI, and ML. When I came across this project, it felt like the perfect opportunity to apply what I’ve learned, solve real-world problems, and build something genuinely useful.Working on DealZebra has been a super exciting experience, from brainstorming with the team to building out the tech that powers the platform.

adios
I’m Abhishek

I’ve always been obsessed with understanding what makes people click, not just ads, but decisions, patterns, behaviors. That curiosity pulled me into marketing, and eventually into making DealZebra a global deal sourcing platformFrom automation to performance campaigns, I’m learning and iterating every day — not just to grow users, but to master the game.

Abhishek Kambali

GTM - Strategist

CA.Purva Bhandari

ib - health care

Helloo!
I'm Purva

A CA by qualification, but I never followed the conventional route.I’ve spent over a decade in M&A, working deep within the healthcare sector.Now, I’m channeling all that experience into shaping DealZebra. bringing clarity, precision, and real insight to the deal sourcing game.

sweta mourya

AI Engineer

Hi i’m Sweta
someone who’s deeply driven by solving real-world problems with AI. Working on DealZebra has let me explore how machine learning, automation, and logic can come together to simplify complex decision-making in M&A. From experimenting with smart workflows to contributing wherever I can, every task here pushes me to learn and grow.

DealZebra is growing fast

we’re looking for people who want to build something meaningful and impactful.

Data Scientists & Analysts

who love patterns, logic, and real-world applications

who can turn models into magic

who understand deals inside out

AI Engineers

Investment Bankers