2.5 years building production data pipelines into Snowflake at a partner shop. Heading to Northeastern's MS in Business Analytics this fall to bridge into product analytics. Until then: structured prep, personal portfolio projects, and a lot of cricket.
I grew up between two obsessions — cricket and computers. The first paid off early: I played in the USA U19 prospect pool and have spent four seasons in Minor League Cricket. The second has been the longer arc.
At Rutgers I studied Computer Science with a minor in Entrepreneurship. The CS gave me the tools; the entrepreneurship minor gave me permission to actually build things. Halfway through, I started Jersey Supply — a Discord community for sneaker drops. It hit 350 members and taught me more about retention, sourcing, and customer psychology than any class did.
After graduation I joined Bahwan Cybertek, a Snowflake premier services partner. Two and a half years migrating data from legacy systems into Snowflake, building dashboards from platform logs, partnering with compliance teams on regulated workflows. Solid engineering work. But I kept gravitating toward the questions the data could answer rather than the pipes that moved it.
Now I'm taking that pivot seriously. Northeastern's MS in Business Analytics starts in September. Until then, I'm in self-directed sprint mode — structured SQL practice, Python and statistics coursework, and personal analytical case studies that let me apply what I'm learning. One of those case studies uses operational data from a friend's small business, with their permission, to practice the kind of margin diagnostic and predictive modeling work I want to do at scale next year.
The plan after Boston: a co-op at a sports, betting, consumer, or live commerce company — ideally one that takes data seriously and ships fast. Long-term, I want to be the person on a product team who can both read the data and understand the customer. Bridging those two roles is harder than it sounds.
Production data flows from legacy systems into Snowflake. Azure Data Factory, Coalesce, REST APIs. Reconciliation, validation, lineage documentation. Two and a half years of doing this, every day.
Pulling data into Python and asking the right questions. Margin analysis, category mix, cohort behavior. Translating numbers into one-page briefs that actually change decisions.
Tableau, weekly performance dashboards, runbooks. Designed for the person who has thirty seconds to figure out if anything is wrong and where to look.
Building things people actually want to come back to. Three hundred and fifty members, ten formulas, and a lot of late-night iterations on what the next experiment should be.
One is a college community I built and grew on my own. The other is an ongoing personal analytics case study using anonymized small-business data with permission.
A Discord community I built around sneaker drops while in college. Taught me retention is an acquisition problem in disguise.
read the story →Personal analytics case study using anonymized data from a friend's small business, with permission. Practice in margin diagnostics and predictive modeling.
read the case →Cricket isn't a hobby footnote — it's how I've spent half my life. Ex-USA U19 prospect, four seasons in Minor League Cricket, currently playing for three different premier-division clubs across two New Jersey leagues. I bring up cricket on a personal site that recruiters might read because, frankly, the discipline transfers: preparation, calm under pressure, reading patterns in real time. All the things product analytics actually rewards.
Pre-MSBA self-directed prep. Roughly fifteen hours a week of structured learning on top of the existing schedule. The plan looks like:
May. SQL fundamentals. DataLemur, Mode SQL Tutorial, StrataScratch product analytics problems. Goal is 100+ problems solved with window functions and CTEs fluent.
June. Python and statistics. The Google Data Analytics Certificate, Kaggle's Pandas course, Khan Academy stats track. Udacity's free A/B testing course closes the month.
July. Product thinking and Tableau. Reforge articles, Cracking the PM Interview, Tableau Desktop Specialist exam.
August. Two portfolio case studies polished, LinkedIn rebuilt for product analytics, alumni outreach to recent Northeastern MSBA grads.
— you went through Northeastern's MSBA recently and have hindsight to share.
— you might be hiring product analytics co-ops for summer 2027.
— you also live somewhere between cricket and computers.