I'm a UC Berkeley Data Science and Economics graduate based in New York City, building with data, product, and creative instinct.
Data Scientist, Designer, Creative Technologist
I'm a Long Beach native and UC Berkeley grad with a Data Science degree and Economics emphasis, now based in New York City. Most recently I was a Data Scientist at Y=X, building predictive models and dashboards for fintech.
On the side I'm the founder of In Search Of, a fashion-tech commerce platform and demand-driven reverse marketplace. Bilingual in Spanish and English, usually making short-form videos when I'm not behind a keyboard.
Email : baguirre2651@berkeley.edu
Place : New York City, New York
A working history across product, data, and design—building useful systems from first idea through shipped experience.
In Search Of / New York, NY
A demand-driven reverse marketplace where buyers post what they want and sellers come to them. Built the product around search aggregation, AI-assisted item authentication, valuation signals, live auction tracking, and auto-bid workflows. iso-us.com ↗
Happin / New York, NY
Designed and shipped onboarding and planning features for a privacy-first social coordination app for concerts, conferences, and travel — Apple/Google sign-in, location controls, connected calendars, and a calendar-first Plans page that surfaced upcoming overlaps between friends. Revamped the website and user experience, refined the product's visual system, and ran testing through TestFlight. happin.social ↗
Y Equals X / Los Angeles, CA
Built predictive models, dashboards, validation workflows, and data pipelines that translated complex risk probabilities into decisions stakeholders could act on.
UCLA Engineering / Los Angeles, CA
Designed management pipelines and regression models, simplified ML concepts for stakeholders, and ran A/B tests that improved model accuracy and precision.
SA Photonics / CACI / San Jose, CA
Processed satellite datasets, identified outliers, evaluated regression models, and helped improve ETL workflows for a cross-functional team.
Scale AI / Outlier / San Francisco, CA
Optimized data workflows and turned noisy regression analysis into strategic narratives for operational teams.
Marketplaces, forecasting, machine learning, and applied language models.
All projects on GitHubA 1v1 tug-of-war multiplication duel — two players race to answer times-table problems, dragging the rope toward their side with every correct call.
02 La Liga Match PredictionRandom Forest model trained on 2018-2023 match data, reaching 78% prediction accuracy after feature engineering, rolling averages, and predictor tuning.
03 CitiBike Demand ForecastingForecasted bike rental demand across San Francisco and Oakland with sequence models and classical time-series baselines.
04 LLM Parody BotA fine-tuned bot trained to mimic a personal writing style while exploring lightweight personality modeling and prompt behavior.
Tools I use across analysis, modeling, product, and data workflows.
Python
SQL
R
Java
JavaScript
TypeScript
Swift
HTML
CSS
Pandas
Scikit-Learn
Random Forests
LSTM
ARIMA
A/B Testing
Data Mining
React
Next.js
Firebase
MongoDB
Dashboards
Computer Vision
LLM Fine-Tuning
AWS
Snowflake
Airflow
Git
ETL Pipelines
Model Validation
B.A. Data Science, Economics emphasis / College of Computing, Data Science, and Society / Completed 2024
Foundations of Data Science, Data Structures, Probability, Linear Algebra, Machine Learning, Data Mining, Trust & Safety, Microeconomics, Data & Decisions.
Travel vlogs from trips around the world — just for fun, cut to music.
Contact
