case study · 01
01 / 02
What makes a footballer expensive?
A market-value study built from messy performance, appearance, transfer, and player data across seven leagues.
Open the repository ↗San José · California · 2026
I like
figuring
things out.
I’m a San José State student working across data, systems, and real-world questions. I build projects to understand what the numbers are actually saying—and what to do with them.
field notes / 01current state
Questions first.
Evidence next.
football market valueevaluated
e-commerce intelligencebuilding
career directionopen
keep looking closer
01 / selected work
Things I’ve
been testing.
Two projects at different stages. Both are less about presenting a perfect answer and more about making the reasoning visible.
in progress · 02
decisions, not just dashboards
02 / 02
An e-commerce project that asks better questions.
A growing decision-intelligence project combining relational data, SQL analysis, Python, Tableau, and future classification work.
Follow the build ↗
2 active project threads1 documented case studyalways leaving room for the caveat
02 / how I work
The useful
part is the middle.
The clean result is usually the least interesting part. I want to understand what changed between the messy input and the conclusion.
01
Start with the question.
Before choosing a model or a chart, define what decision the work is supposed to support.
02
Make the data earn its place.
Clean, join, filter, and inspect the inputs before treating them as trustworthy.
03
Leave room for the caveat.
A useful result includes what worked, what did not, and what the analysis still cannot tell us.
03 / a little context
Still becoming
useful.
I’m studying Engineering Technology at San José State, and I’m exploring the space where technical work meets real-world problems.
This site is a record of that process: projects, experiments, and the occasional rabbit hole that turns into something more useful than expected.
Looking toward
Data & analytics
ML / databases / operations
ML / databases / operations
Currently learning
PostgreSQL, modeling,
better project storytelling
better project storytelling
Off the clock
Football, poker,
questions that become spreadsheets
questions that become spreadsheets
Elsewhere
04 / context matters
A wider
starting point.
The work is technical, but the reason I care about building it is personal.
Coming to the United States as an international student has made me pay attention to how people learn, communicate, and find their footing in unfamiliar systems.
That perspective shows up in the way I work: I ask questions before reaching for answers, explain decisions clearly, and keep improving the parts that are not obvious at first.
What I bring
Adaptability, curiosity,
and a practical point of view
and a practical point of view
What I’m building toward
Technical work that helps
people make better decisions
people make better decisions
05 / off the clock
Outside
the work.
Some interests stay interests. Some quietly become the reason a project exists.
◌
the one I kept thinking about
Football
I love football, so building something around it felt pretty natural. I’m a strong Barça and Messi supporter, and that interest eventually led me to look at what actually drives a player’s market value.
♠
the one that keeps me honest
Poker
Probability, incomplete information, and decisions that make sense even when the outcome goes the other way. Useful habits outside the card table too.
♫
the one that keeps things moving
Music
For long work sessions, study breaks, and the background of ordinary days. A fairly consistent rotation of pop, alternative, and Hindi music.
Justin BieberColdplayThe ChainsmokersOne DirectionArijit Singh