Skip to content
View RayVazcari's full-sized avatar

Block or report RayVazcari

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RayVazcari/README.md
Ray Vazquez — Data & ML Scientist

Typing intro


LinkedIn Follow me Repos Location

// 01 · OPERATOR

I'm a Mechanical Engineering graduate, a Networking Engineer by trade (Azure), and an aspiring Data & Machine Learning Scientist learning every skill I can to change the world with AI.

Every project here is built from the ground up: planning, designing, and solving real-world problems end to end.

🎓 Post Graduate Degree in Data Science & Analytics, UT Austin McCombs School of Business 📍 Texas · 🏢 Microsoft

// 02 · MISSION LOG

🌐 Web builds

Project What it is Stack
smart-cubic-demo Bilingual (EN/ES) marketing site for a San Antonio water-restoration company, deployed on GitHub Pages HTML CSS JS
somos-career-journey Concept prototype of a career-journey experience with a live demo JS

🧠 Data science & machine learning

Project Technique Problem solved
LinearRegression · ReCell Linear regression Predicting normalized used-phone prices
AB-Testing · E-News EDA · hypothesis testing Measuring what drives engagement on a news platform
SupervisedLearning · INN Hotels Classification Predicting hotel booking behavior
EnsembleTechniques · EasyVisa Ensemble methods Predicting visa approval likelihood
ModelTuning · ReneWind Model tuning Detecting mechanical failures in wind generators
UnsupervisedLearning · Trade&Ahead Clustering Cluster analysis on stock data
EDA · Food Hub Exploratory analysis Understanding food-delivery demand

🎯 Challenges

// 03 · SYSTEMS

Tech stack


Pandas NumPy Matplotlib Plotly Jupyter Anaconda Postman

Core skills: Exploratory Data Analysis · Hypothesis Testing · Linear & Logistic Regression · Supervised Learning · Ensemble Methods · Model Tuning · Unsupervised Learning

// 04 · IN TRAINING

🔭 Certifications & courses 🌱 Currently learning
Azure Data Fundamentals (DP-900) Azure Machine Learning Studio
Azure Data Scientist Associate (DP-100) Machine Learning & Deep Learning
Machine Learning Specialization SQL
Deep Learning Specialization R
DeepLearning.AI Data Engineering C#, Bash, Linux
Generative AI for Software Development AWS, Azure SQL
ChatGPT Prompt Engineering for Developers

// 05 · TELEMETRY

GitHub stats Top languages Streak

🐍 Contribution snake

Contribution snake

Data Craftsman · Business Scientist · Bouldering Novice

Let's connect

Pinned Loading

  1. EnsembleTechniques-EasyVisa-Project EnsembleTechniques-EasyVisa-Project Public

    Ensemble models (bagging, random forest, boosting, XGBoost) tuned with GridSearchCV to predict visa approval likelihood

    Jupyter Notebook

  2. ModelTuning-ReneWind-Project ModelTuning-ReneWind-Project Public

    Tuned classification models to predict mechanical failures in wind turbine generators and cut maintenance costs

    Jupyter Notebook

  3. smart-cubic-demo smart-cubic-demo Public

    Bilingual (EN/ES) marketing site for a San Antonio water mitigation & restoration company. Vanilla HTML/CSS/JS, no build step, mobile-first, deployed via GitHub Pages.

    HTML

  4. somos-career-journey somos-career-journey Public

    Concept prototype of the SOMOS.tech Career Journey: clickable mockup with an example journey and a live demo. No AI yet.

    JavaScript

  5. SQL-Advent-Calendar-2025 SQL-Advent-Calendar-2025 Public

    24 days of SQL coding challenges to level up database skills for data scientists!

    TSQL

  6. UnsupervisedLearning-TradeAhead-Project UnsupervisedLearning-TradeAhead-Project Public

    Unsupervised clustering analysis of stock data to group stocks and support portfolio decisions for Trade&Ahead

    Jupyter Notebook