A little
context.
I’m Aishwarya — trained in Data Science and now building a perspective across data, finance and business.
From building with data
to thinking about decisions.
My academic path began with Data Science. Learning to build models, structure data and question results gave me a strong analytical foundation. But it also made me curious about what happens after an analysis is complete.
Finance introduced another lens — value, risk, trade-offs and long-term thinking. Business helped me understand how those decisions play out through people, processes and priorities.
That is where my interests have come together: using data to understand a problem, finance to evaluate it, and business thinking to make the analysis useful.
Different environments.
Different lessons.
IIRS — ISRO
Research taught me patience, methodological rigour and respect for evidence. Working with complex data also showed me that good analysis begins with understanding the problem.
Dow
Corporate work taught me to communicate, adapt and connect analysis with real processes, customers and stakeholders.
Projects & entrepreneurship
Building and evaluating ideas taught me to take responsibility for assumptions, choices and outcomes — not just the analysis behind them.
Building the next layer.
Data, finance and business.
I am pursuing the five-year integrated MBA Tech programme at NMIMS, Mumbai: a B.Tech foundation in Data Science followed by an MBA major in Finance and a minor in Business Intelligence & Analytics. I expect to graduate in 2027.
How I like to work.
Ask better questions.
Clarity begins before the first calculation.
Stay close to evidence.
Let the data inform the story, not the reverse.
Make analysis useful.
An insight matters when someone can act on it.
Keep learning.
Stay open to feedback and unfamiliar problems.
Data gives me evidence.
Finance gives me perspective.
I’m building toward work where business gives that perspective a purpose — solving problems that require both analytical depth and practical thinking.
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