Custom AI Models

Yeriko Vargas

AI Engineer · AI Systems Architect · Detroit, MI

Tutoring

If I can teach it, I understand it.

M.S. in Statistics, and 6+ years helping students with Python, data science, data analysis and machine learning, from first lines of code to advanced models. Every session is hands-on, on real data, in a room where any question is a good one.

016+ years

students, from beginners to advanced

0212 students

on Wiingy in 2026, first lesson to weekly

033 countries

United States · United Kingdom · India

04TA, then tutor

statistics and precalculus at Oakland University

How a session runs

Practice first. Theory when it earns its place.

  your goal ──▶ a real dataset ──▶ we write the code ──▶ statistics checks it ──▶ you explain it back
     │                                                                                  │
     └────────────────────────────── next session starts here ◀─────────────────────────┘

Statistics made intuitive, Python on real datasets, models built and evaluated, and the habit of thinking a problem through before typing.

What students bring

Whatever they are stuck on this week.

5Excel 4Computer Science 1Python 1Web development 1High-school math

2026 on Wiingy, by subject. Statistics and machine learning come up inside all of them.

Students

Four stories, no names.

01Demo → weekly ML

A computer-science demo in March. In August the student came back for regular classes, working through supervised versus unsupervised learning on their own data.

02A standing Saturday

A computer-science student who started with one demo in October and booked the same slot every week after it.

03Student → client

Regular lessons over the summer. Then the student hired Custom AI Models to build their business website. Teaching is the front door.

04Excel that runs a job

Five students on spreadsheets, in the US and the UK: the formulas, tables and lookups their work already depends on.

Support material

Three guides, so nobody starts from a blank screen.

01Set up your machine

Windows and Mac · conda and venv · RStudio · Jupyter · SageMaker notebooks

in the works

02Python basics

types, loops, functions · pandas on a real file · reading an error

in the works

03ML basics

split the data first · a baseline · fit, evaluate, explain

in the works

Why it holds up

I teach what I ship.

I built machine learning in industry, at Ford and at Fiat Chrysler, on real data and real deadlines. Students learn the concept and how it is actually used.

In my words

Hey! I’m Yeriko. I hold a Master’s degree in Statistics and have been helping students for 6+ years with Python, data science, data analysis, and machine learning. I work with both beginners and more advanced learners, focusing on building real understanding through hands-on practice. My goal is to make complex topics feel clear, structured, and approachable.
During my graduate studies, I worked as a teaching assistant for statistics and precalculus, supporting students in both classroom and one-on-one settings. Since then, I’ve continued teaching and coaching independently, guiding students through projects, homework, and skill-building in Python and machine learning. I focus on creating a relaxed, supportive environment where you can ask questions freely and build confidence step by step.
In our sessions, we keep things practical and engaging. You can expect to:
• Learn Python through real data science and analysis projects • Understand statistics in a simple, intuitive way • Work with real datasets for data analysis and modeling • Build and evaluate machine learning and AI models • Improve problem-solving and analytical thinking skills
Alongside teaching, I’ve built machine learning models in industry at companies like Ford Motor Company and Chrysler, working with real-world data and predictive systems. I bring that real-world perspective into every session so you’re not just learning concepts, but how they’re actually applied.