Yeriko Vargas
Precalculus, Algebra, and Trigonometry Tutoring — Structured Guidance for Clarity, Confidence, and Academic Excellence
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Yeriko Vargas
Masters degree
/ 55 min
Yeriko - Know your tutor
Hello — I’m Yeriko. I teach mathematics in a way that actually makes sense. No memorizing random steps, no confusion — just clear logic, patterns, and structure so you understand why things work. I taught precalculus at Oakland University for 2 years, and for the past 5+ years I’ve been working with students online, helping them improve their grades, pass exams, and build real confidence in math. My focus areas: Precalculus Algebra Trigonometry Whether you’re stuck on assignments, preparing for a big exam, or feel like you’ve fallen behind, I’ll help you break everything down step-by-step until it clicks. In our sessions, you’ll learn how to: Approach problems with a clear strategy Recognize patterns instead of guessing Avoid common mistakes that cost points Build confidence solving problems on your own I specialize in working with students who feel overwhelmed or lost — and turning that into clarity fast. We’ll go at your pace, simplify complex topics, and focus on what actually matters for your class. I also help with: Homework & assignments Quiz, midterm, and final exam prep Relearning foundational topics Last-minute review sessions No fluff, no overcomplication — just math explained in a way that sticks.
Yeriko graduated from Oakland University


Specialities of your tutor
State-Specific Standards (USA)
Practice Tests
Test prep strategies
Math Tricks and Hacks
Homework help
Quick Math Games
Learning Plans
AI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Student types for classes
Anxiety or Stress Disorders
High School students
ADHD
Home schooled
College students
Elementary School students
Middle School students
Learning Disabilities
ASD
Yeriko also teaches
Algebra
Algebra 2
Probability
Statistics
Trigonometry
Math

Mathematics concepts taught by Yeriko
The session covered setting up Python virtual environments to manage project dependencies and avoid conflicts with system-level installations. The student learned how to create, activate, and manage virtual environments, as well as how to export and import package lists for different machines. Homework includes practicing the virtual environment setup and exploring data analysis using the new environment.
Creating and Activating a Virtual Environment
Package Management with Pip
Exporting and Replicating Environments (requirements.txt)
Terminal Usage for Python Development
Importing Data and Calculating Portfolio Returns
Virtual Environments in Python
The Tutor and Student explored statistical concepts including linear regression, correlation, and probability distributions. They practiced analyzing data relationships using correlation matrices and discussed hypothesis testing with examples. The next session is planned to involve more complex datasets and examples.
Linear Regression Basics
Correlation: Measuring Relationships
Distributions: The Shape of Data
Null Hypothesis and p-values
The Tutor and Student collaborated on designing a system for tracking dealer training attendance and knowledge retention for M&A Supply. They discussed data structure, ID management, and the use of AI-generated content and potential dashboards to improve training effectiveness. The next steps involve the Student creating a system template based on the discussed data and concepts.
Data Tracking and Management
Training Curriculum and Delivery
Leveraging AI and Automation in Training
Data Identification and Interconnectivity
The student and tutor worked on developing and organizing AI skills within platforms like Claude and Cursor. They practiced troubleshooting, creating custom skills for website structure and data backup, and establishing a file organization system for multiple projects. The session concluded with a plan to build a marketing funnel by integrating existing email templates and skills.
AI Model Capabilities and Limitations
Funnel Building and Automation Strategies
Command Line Interface (CLI) and Terminal Operations
Folder Organization and Project Management
AI Skill Development and Training
The tutor and student worked on setting up the Cursor IDE, organizing project folders, and integrating AI coding assistants. They practiced using the terminal, explored AI model selection, and began developing a lead generation website by generating HTML and discussing deployment strategies, with a plan to focus on project implementation in future sessions.
Understanding Code Hosting and Deployment
Cursor IDE Setup and Configuration
AI Agent Interaction with Cloud Code
Project Deployment and Workflow Management
The Tutor provided an overview of AI development environments and project organization, explaining the benefits of tools like Cursor for integrating AI into coding. The Student expressed interest in applying these concepts to their own projects, and they planned to schedule follow-up sessions to set up the Student's computer and begin working on their specific applications.
Environments in Python
GitHub for Code Management
AI Model Selection and Usage
Development Environments and Tools
Teaching tools used by tutor
Math Games
Visualization & Exploration
Digital whiteboard
Presentations
Graphing Tools
Assessment
Quizzes
Interactive lessons
Open Q&A
Pets are welcomed
Note taking
Parent feedback
Record lessons

Math tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
