Ramya G
Expert in Java, Python, AI, Machine Learning & Full Stack Development | Offering Cutting-Edge Computer Science Training
Show all photos
Ramya G
Masters degree
/ 55 min
Ramya - Know your tutor
Hi! I'm Ramya, a Computer Science Tutor and Software Developer with 3+ years of industry and teaching experience. I help students, graduates, working professionals, and learners of all age groups build strong programming and software development skills through practical, project-based learning. Whether you're a complete beginner or looking to advance your technical expertise, I tailor every session to your learning pace and goals. I specialize in Java, Python, JDBC, Hibernate, Spring Framework, Flask, HTML5, CSS3, JavaScript, Bootstrap, React.js, SQL, MySQL, PostgreSQL, SQL Server, Data Structures, OOP, Artificial Intelligence, Machine Learning, Data Science, Pandas, NumPy, Power BI, Tableau, and Database Management Systems. My classes focus on hands-on coding, frontend and backend development, database integration, REST APIs, debugging, and building real-world applications. Students work on live projects, coding exercises, assignments, web applications, machine learning models, dashboards, and portfolio-ready projects using industry-standard tools and best practices. I also provide support with college assignments, mini and major projects, interview preparation, resume building, and career guidance. Whether your goal is to become a Software Engineer, Java Developer, Python Developer, Full Stack Developer, Data Analyst, Data Scientist, or AI & Machine Learning Engineer, I'll help you gain the practical skills, confidence, and real-world experience needed to succeed in today's technology industry.
Ramya graduated from Anna University
Programming tutor specialities
Competitive Programming
Job readiness
Code Review
Debugging
Paired coding
Project help
Exam prep
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 for programming class
College students
High School students
Middle School students
Your programming tutor also teaches
App Development
Artificial Intelligence
Computer Science
Databases
Machine Learning
Visual Basic
Computer Science concepts taught by Ramya
The tutor and student worked on refining a database conceptual model, specifically focusing on entity relationships and cardinality, using ChatGPT as a tool. They practiced prompting the AI to extract specific data and discussed correcting relationship logic based on instructor feedback and data availability. The student was advised to review provided video resources for further understanding.
Prompt Engineering for AI Data Extraction
AI Output Verification and Rubric Alignment
Database Cardinality and Relationships
The tutor and student reviewed feedback on a database design assignment, focusing on accurate entity naming and relationship cardinality. They discussed the process of converting a conceptual design to a logical design, emphasizing normalization and the correct use of AI tools for database generation. The next steps involve applying these concepts to Unit 2.
Using AI for Database Design
Cardinality in Relationships
Logical Design and Normalization
Entity Naming Conventions
The Tutor and Student compared the effectiveness of ChatGPT and Gemini in performing conceptual database design for a movie dataset. They focused on identifying entities, relationships, and cardinality, and then practiced documenting the findings in a report, including taking screenshots of AI outputs.
Entity Relationship Modeling
Conceptual vs. Visual Database Design
Comparing Generative AI Tools for Data Analysis
Entity Identification in Database Design
The Student and Tutor worked on database design, specifically creating an entity-relationship model for a movie website. They practiced identifying entities, defining relationships between them using AI tools, and documenting the design process. The next session will involve further prompt work and documentation.
Entities and Relationships in Databases
Database Normalization
Entity-Relationship Diagrams (ERDs)
Using AI for Data Organization and ERD Generation
The Student and Tutor commenced a new database course, focusing on the first assignment which involves designing a conceptual database model for a movie dataset using generative AI applications like ChatGPT. They practiced formulating effective prompts to extract database entities, attributes, and relationships from the AI. A follow-up session was scheduled to continue with the AI-generated design and create the required diagrams.
Conceptual Database Design for Movie Data
Leveraging Generative AI (Gen AI) for Database Schema
Entity-Relationship Diagram (ERD) Fundamentals
Data Normalization for Database Efficiency
The session focused on the Student's independent work on the sixth assignment, which involved adding a combo box for state selection. The Tutor provided supervision and readiness to assist with the technical implementation while the Student progressed on the task. The Student planned to continue working on the assignment and submit the finished database.
Integrating UI Components: Combo Box
Navigating Self-Paced Learning and Documentation
Strategic Engagement with Instructor Support
Teaching tools used by tutor
Visual Studio Code
Google Colab
PyCharm
Git & GitHub
Postman
Dynamic programming classes
Note taking
Mobile joining
Open Q&A
Parent feedback
Record lessons
Coding tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.