Data Science · Analytics · Machine Learning · AI · Automation
Hi, I'm Kyra - I work with data and build with AI.
🚧 Pardon the dust — I'm still building.
This site and the projects on it is currently under construction. I'm actively working on both, with the next major update coming August 30 at 11:59 PM.
Until then, feel free to look around — just don't judge the empty project cards too harshly. :)
> whoami
KYRA
CORE
Python · SQL · Statistics
WORKING WITH
Pandas · NumPy · scikit-learn · matplotlib
EXPLORING
CLI · Git · APIs · Web Scraping · AI Agents · Automation · PowerBI
ON THE HORIZON
AWS · Snowflake
STATUS
building
Education
// academic background
M.S. in Applied Statistics
May 2026
California State University, Long Beach — Long Beach, CA
"This is where stats really clicked for me. I learned to embrace uncertainty, question everything, build models, design experiments, and occasionally spend way too long wondering whether something is actually statistically significant."
// Relevant Coursework
Machine Learning
Building models that learn patterns directly from data instead of fixed rules.
Data Mining
Extracting actionable signal from large, messy, real-world datasets.
Statistical Inference
Drawing defensible conclusions about a population from a sample of data.
Regression Analysis
Quantifying how variables drive outcomes, with statistical rigor behind every claim.
Experimental Design & Analysis
Structuring experiments to isolate cause and effect with confidence.
Multivariate Statistical Analysis
Analyzing many variables at once to uncover the structure connecting them.
Nonparametric Statistics
Robust methods for data that breaks the assumptions classical stats relies on.
Data Analysis with SAS
Enterprise-grade statistical computing for large-scale analysis.
Introduction to R Programming
Statistical programming built for data analysis, modeling, and visualization.
B.S. in Mathematics
May 2023
California State University, Long Beach — Long Beach, CA
"This is where I learned to love hard problems — proofs, abstract ideas, and the oddly satisfying feeling when something finally clicks. Math taught me how to think through problems even when the answer isn't obvious."
// Relevant Coursework
Numerical Analysis I & II
Engineering precise approximations for problems with no exact solution.
Intro to Mathematical Analysis I & II
Rebuilding calculus from first principles, with airtight proofs at every step.
Number Theory
The mathematics of primes and integers that underlies modern cryptography.
Abstract Algebra
Uncovering the structures — groups, rings, fields — that govern how systems behave.
Probability & Statistics
The framework for reasoning rigorously about uncertainty and risk.
Differential Equations
Modeling how systems evolve — from orbital mechanics to population growth.
Linear Algebra
The language of vectors and matrices behind graphics, ML, and optimization.
Calculus I, II & III
The foundation for modeling change, from single variables to 3D space.
Experience
// work history
"Teaching taught me how to explain complicated ideas, adapt quickly, work with different people, and think on my feet — skills I'm bringing with me into tech."
Substitute Teacher
Aug 2024 – Present
Swing Education · Multiple School Districts — Los Angeles County, CA
- Learned to adapt quickly to different students, classrooms, and teaching styles.
- Worked in special education classrooms where patience and individual attention really matter.
- Learned to stay calm, read the room, and figure things out on the go.
Teaching Associate / Instructional Student Assistant
Jan 2023 – May 2026
California State University, Long Beach — Long Beach, CA
- Taught a support course for Business Calculus to business students.
- Tutored students in mathematics and statistics.
- Graded coursework and final exams.
- Learned how to explain quantitative concepts to people who aren't mathematicians — without making things more complicated than they need to be.
Math Tutor
Dec 2019 – Jan 2021
Los Angeles City College — Los Angeles, CA
- Helped students work through math concepts one-on-one.
- Got comfortable explaining the same idea several different ways until one finally clicked.
- Learned to figure out where someone was getting stuck instead of simply giving them the answer.
Bobarista
Aug 2019 – May 2023
Kung Fu Tea — Koreatown, CA
- Made a lot of boba, took orders, handled payments, and kept up during busy rushes.
- Worked closely with a small team where communication and helping each other out made a huge difference.
- Got an early lesson in how much good operations matter — even something as simple as making a drink becomes a system when you're doing hundreds of them.
Data
// from raw data to communicated results
"I like seeing the whole data journey — from figuring out the right question, to collecting and cleaning the data, to modeling it, and finally communicating what actually matters. I'm especially drawn to the space where data analytics and data science overlap."
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Problem Definition
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Data Collection
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Data Cleaning
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Exploratory Data Analysis
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Modeling
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Evaluation
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Deployment
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Insights/Action
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Stats
// coursework & the work that came out of it
"My master's program gave me the chance to go beyond learning statistics in theory and actually use it. This page is a collection of some of the coursework and projects that shaped how I work with data today."
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Stat 510
Regression Analysis
Simple and multiple linear regression — estimation, inference, prediction, residual analysis, transformations, multicollinearity, variable selection, and model validation.
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Stat 520
Statistical Analysis
The theory behind the methods: estimation, sampling distributions, hypothesis testing, and how to justify a conclusion drawn from a sample.
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Stat 530
Experimental Design
Designing and analyzing experiments — blocking, factorial designs, and ANOVA — to isolate real effects from noise.
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Stat 550
Multivariate Analysis
Methods for many variables at once: PCA, factor analysis, discriminant analysis, clustering, and MANOVA.
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CECS 464
Machine Learning
Supervised and unsupervised learning — training, evaluating, and tuning models that learn patterns from data instead of fixed rules.
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Stat 574
Data Mining
Finding structure in large, messy datasets: classification, clustering, association rules, and model assessment at scale.
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Stat 471
Intro to R Programming
Working in R end to end — data wrangling, functions, simulation, and visualization for statistical analysis.
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Stat 475
Data Analysis with SAS
Managing and analyzing data in SAS: DATA step programming, procedures for modeling, and reporting results.
AI Lab
// where I put AI to work
"This one needs no introduction."
Content Creation
Agents
App/Website Building
Exploration
// content creation
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FAQ
// frequently asked questions
What can you bring to the table?
I bring a rock-solid foundation in mathematics and statistics, a growing technical toolkit, and a genuine interest in using data and AI to solve real problems. Most importantly, I'm curious, I learn quickly, and I'm not afraid to figure things out. I work hard, I take initiative, and I want to get shit done.
What kind of roles are you looking for?
I'm very open-minded about this. I'm not tied to a specific job title. I'm open to anything where I can learn, solve interesting problems, build useful things, and contribute to the team.
What kind of team are you looking for?
I'm open to all sorts of teams. More than company size, I care about working with people I can learn from, contributing to meaningful problems, and being somewhere that values hard work, curiosity, and new ideas.
Where are you based? Are you open to relocation or remote work?
I'm currently based in Torrance, California. I'm open to in-person, hybrid, and remote opportunities, and I'm also open to relocating for the right opportunity.
Get in touch
Have a project, a role, or just a good stats problem to share? I'd love to hear from you.