It's never really about the data.

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Aarya Bhivsanee, data and product analyst, standing on a steel staircase

What actually gets me isn't the data itself. It's human behavior. I've always liked watching why people do what they do: the cues that flip someone from a yes to a no, the patterns behind a decision they probably didn't even notice they were making. Psychology's part of that too. It always felt like the same question, just asked from a different perspective. Data's just where I get to chase it properly, with real evidence instead of a guess.

I watch people outside of work too. I'll catch myself noticing how someone lives, the habits they've built without thinking about it, the small choices that add up into something bigger, and I don't really turn it off. Why does someone stop using something they used to like? Why do they come back after leaving? Why does one nudge work when an almost identical one doesn't? I think every one of those questions has a person behind it, doing something for a reason, and figuring out that reason is the part I enjoy the most. A few places this has shown up. A funnel of 1.76 million sessions where the real drop happened earlier than anyone expected, not at checkout. A churn model across 500 SaaS accounts where a rule-based risk score separated accounts churning at about 17% a month from those at 7%. A revenue anomaly system built on 18 months of revenue data that had to explain itself, not just raise a flag.

Quick Facts

Name
Aarya Bhivsanee
Role
Data and product analyst; currently Product & Data Analytics Intern at involveMINT (remote)
Location
Newark, NJ, United States
Education
M.S. in Data Science, Stevens Institute of Technology (2024 – 2026); B.E. in Artificial Intelligence & Data Science, Savitribai Phule Pune University (2020 – 2024)
Focus
Customer retention, churn, funnel and product analytics; anomaly detection
Tools
SQL (Snowflake, PostgreSQL, MySQL), Python, Tableau, Power BI, dbt
Looking for
Roles in data analytics, business intelligence and product analytics
Contact
contact@aaryabhivsanee.com · Resume · GitHub · LinkedIn

Outside of Work

Outside of data, cooking takes up a good chunk of my time, especially Asian cuisines. Travel's the other constant, I'll go wherever's next on the list before I've fully unpacked from the last one. I read constantly, I'm always up for a chess game, and football or cricket will pull my attention just as fast. Throw in a conversation about why people behave the way they do, and that's yet another rabbit hole I'm happy to fall into. I also dance, sing, and occasionally end up in theatre, which turns out to be a decent way to study people too, just with worse lighting and higher stakes. And when I actually want my brain off instead of on, it's food or FIFA on PS5, no analysis, no pattern-hunting, just trying not to concede in the 90th minute again.

Quotes I Live By

What I'm Reading

  • Lean AnalyticsAlistair Croll & Benjamin Yoskovitz
  • Deep WorkCal Newport
  • Show Your Work!Austin Kleon

Frequently Asked Questions

Who am I?

I'm a data and product analyst based in Newark, NJ, with an M.S. in Data Science from Stevens Institute of Technology. I currently work as a Product & Data Analytics Intern at involveMINT.

What do I specialize in?

Customer retention and behavior analysis: spotting accounts likely to churn and mapping where users drop off in a product, mostly with e-commerce and subscription data.

Which tools and languages do I use?

SQL (Snowflake, PostgreSQL, MySQL), Python (Pandas, NumPy, Scikit-learn, SciPy), Tableau, Power BI, Excel, dbt, Jupyter Notebook and Git/GitHub.

What did my SaaS churn project find?

HIGH and MEDIUM-risk accounts churned at about 17% a month versus 7% for LOW across 24 months, and retention fell from 90.1% at month 1 to 57.4% at month 6.

What did my e-commerce funnel analysis find?

97.8% of viewing sessions never reach cart, while 72.8% cart abandonment sits near the roughly 70% industry average, so the fix pointed to the product page rather than checkout.

What kind of roles am I looking for?

Roles in data analytics, business intelligence and product analytics.

How can I get in touch?

For business inquiries, email contact@aaryabhivsanee.com. My resume is available online at https://www.aaryabhivsanee.com/resume/ and as a PDF, and I'm also on LinkedIn and GitHub.

That's most of it. If any of this overlaps with something you're working on, I'd like to hear about it.