I study markets, learn how businesses work, and help early ideas grow.
INTRO
I usually start my day withreading something orlearning something new
A few pages first.Then a workout.
Training gives the rest of my day its rhythm.
Then I turn to the markets.I've been following them since I was 15.
WORK
ACHIEVATEI helped evaluate startups, prepare investor memos, and coordinate fundraising outreach inside Achievate's founder's office.
Explore my role at Achievate↗The Deep Tech Playbook
Where is India’s next wave of deep tech taking shape?
I mapped five sectors: the markets, the funding, and the forces helping—or holding back—the next generation of companies.
Five sectors. Five one-page briefs. A wider lens on where capital is going.
Two airlines. One new Maharaja.
A merger looks simple in a headline. Making it work is another story.
Our MU-FINS team examined Air India–Vistara: valuation, synergies, integration risks, and the road ahead.
The interesting part: how much of the value depends on getting integration right.
Case-study projections, not realized merger results.
A company, on one page.
What matters when you first look at a startup?
These memos bring the problem, business model, market, traction, and investment thesis into one view. Two very different businesses; one discipline of asking better questions.
What powers the power sector?
Five companies. The same industry. Very different financial profiles.
A study of returns, cost of capital, working capital, and the energy transition across Tata Power, Adani Green, Adani Power, Power Grid, and NTPC.
What does the capital earn?
ROCE = return on capital employed.
Recreated from the report, p. 6. Historical snapshot; BSE India data as cited in the study.
Same sector.
Different economics.
The announcement. Then what?
Do corporate actions change how investors behave—and how shares move?
I led the preparation of our Research Renaissance team paper, combining an investor survey with an event study of dividends, splits, bonus issues, buybacks, and demergers.
From a market question to a testable hypothesis.
2019–2024 events; a selected sample and short event windows limit how broadly the findings apply.
A different kind of scorecard.
Who wins most often? Which players are on those teams? What could a full stadium earn?
Our cricket-league database connects players, teams, matches, coaches, and venues—then uses SQL to turn those relationships into answers.
Who keeps winning?
SELECT winning_team_code,
COUNT(*) AS wins
FROM `match`.`match_info`
GROUP BY winning_team_code
ORDER BY wins DESC;A query using the report’s schema.
An academic database with sample league data.
A little structure.
A lot more answers.
That’s the research desk.
Time to step away for a bit.
FUN
Football is my go-to unwind: Manchester United matches when they're on, podcasts when they're not. (Whether I actually unwind depends on the result.)

