Ramya G
Mastery Data Science & AI Tutor | Python | Excel | Power BI | Tableau | Machine Learning | Real-Time Projects
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Ramya G
Masters degree
/ 55 min
About your data science tutor
I am Ramya G, a passionate Data Science & Artificial Intelligence Tutor with over 2+ years of experience mentoring students, graduates, and working professionals through practical, hands-on learning. My goal is to simplify complex concepts and help learners confidently solve real-world business problems using a project-based approach. I specialize in Data Science, Python, Advanced Excel, Power BI, Tableau, Machine Learning, Artificial Intelligence, NumPy, Pandas, Scikit-learn, and PyTorch. My training covers data preprocessing, exploratory data analysis (EDA), data visualization, feature engineering, model building, and AI fundamentals, combining theory with practical implementation. My sessions include real-time projects in sales, finance, healthcare, HR analytics, customer segmentation, and predictive analytics. Students work with real datasets, build dashboards, develop machine learning models, and create portfolio-ready projects while learning industry best practices. I also teach Machine Learning evaluation metrics, including Accuracy, Precision, Recall, F1-Score, Confusion Matrix, ROC-AUC, MAE, MSE, RMSE, R² Score, Cross Validation, and Hyperparameter Tuning, helping students build accurate and reliable AI models. Beyond technical skills, I provide coding guidance, interview preparation, resume building, capstone projects, and career support. Whether you're a beginner, student, or working professional, I offer a structured roadmap to build practical, job-ready skills for a successful career in Data Science and Artificial Intelligence.
Ramya graduated from Anna University
Data Science tutor skills
Data engineering
Data visualization
Deep Learning
Assignment help
Machine learning
CoTutorAI 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
Learner types for data science class
Data Science for intermediate
Data Science for beginners
Data Science for adults
Data Science for advanced
Your data science tutor also teaches
Data Analysis
Excel
Power BI
Tableau
Data Science concepts taught by Ramya
The Student and Tutor focused on SQL Data Control Language (DCL), covering the creation of database roles and users, followed by the granting and management of specific permissions. They practiced assigning users to roles and thoroughly tested these permission sets by executing various SQL operations as different user roles. The session concluded with plans to continue the following day.
Role-Based Permission Enforcement (Sales Manager - Jill)
Role-Based Permission Enforcement (Salesperson - Jack)
Managing Role Membership (ALTER ROLE ... ADD MEMBER)
Creating Database Users (CREATE USER WITHOUT LOGIN)
Granting Permissions (GRANT Statement)
Database Roles (CREATE ROLE)
The Tutor and Student planned the structural and design elements for a website, confirming the homepage layout, color scheme, and a phased development roadmap. They explored the WordPress dashboard, focusing on site health, visitor analytics, Elementor options, and template selection. The Student also practiced editing page content and applying animations, and was assigned to explore the WordPress dashboard and Elementor templates for homework.
WordPress Dashboard Exploration
Website Security: Site Health Status
Responsive Web Design: Device Compatibility
WordPress Content Editing & Customization
Website Design Blueprinting with Figma
Student and Tutor reviewed and practiced SQL database concepts, including creating views, stored procedures, and understanding DML statements within transaction blocks. They also explored `ROLLBACK` and `TRY-CATCH` mechanisms for error handling. The session concluded with plans to continue the remaining problems tomorrow due to time constraints.
TRY...CATCH Blocks for SQL Error Handling
SQL Transactions & ROLLBACK
DML Statements (Data Manipulation Language)
Stored Procedures
Views in SQL
The Tutor and Student covered fundamental Excel interface elements, basic formatting tools, and essential mathematical operations. They practiced both manual calculations (addition, subtraction, multiplication, division) and the use of built-in Excel functions like SUM and AVERAGE. The Student was assigned homework to apply these concepts to student marks and product lists, emphasizing practice with both manual formulas and Excel functions.
Excel Interface & Basic Formatting
Cell Layout: Alignment
Indentation
and Merging
Efficiency Tools: Undo/Redo & Cell/Column Adjustment
Basic Arithmetic Operations (Manual Formula Entry)
Efficient Calculation with SUM and AVERAGE Functions
Formula Application & Error Handling
The session began with the Student and Tutor resolving significant technical difficulties with their audio connection. Once audio was established, they focused on planning the structure and content for the Student's 'Take Part Network' website, analyzing a 14-15 page document. The discussion covered navigation links, homepage elements, hero section design, content strategy, and resource organization. The Student was tasked with listing all 15 planned page names and researching other websites for design inspiration and visual ideas for the next session.
Website Navigation Strategy
Homepage Content Blueprint
Content Presentation Best Practices
Structuring the 'About Us' Page
Effective Resource Integration
Leveraging AI for Content Creation
The session focused on providing the Student with foundational knowledge about WordPress for website development, contrasting it with traditional coding methods. They successfully set up administrator access for the Tutor and discussed key concepts such as CMS, themes, plugins, and Elementor. The Student was assigned to define their website's target audience, content streams, content types (including considering podcasts), and gather high-quality media and contact information as homework for the next session.
WordPress vs. Coding for Website Development
Core WordPress Concepts: CMS
Drag-and-Drop
Elementor
Enhancing WordPress with Themes and Plugins
Strategic Planning for Website Content & Audience
Optional: Basic Coding Knowledge for WordPress Users
Teaching tools used by data science tutor
Google Colab
Jupyter Notebook
Interactive data science classes
Record lessons
Parent feedback
Weekend lessons
Note taking
Open Q&A
Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.