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English Proficient
Vellore Institute of Technology, Vellore 2024
Bachelor of Technology (B.Tech.)
Brookefield, Bangalore, India - 560037
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T
Tagore Public School
Gudhagorjika, Udaipurwati
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
2
BTech Computer Science subjects
Artificial Intelligence, Computer Networks, Natural Language Processing, Java Programming, Machine Learning, Data Structures and Algorithms, Database Management Systems, Computer Architecture, Big Data Analytics, Data Warehouse and Data Mining, Network security, Object Oriented Programming & Systems, Computer Organization & Design, Number Theory and Cryptography
BTech Branch
BTech Computer Science Engineering
Experience in School or College
I completed my BTech in Information Technology from VIT Vellore, one of Indiaโs top engineering institutes. During my time at VIT, I developed a strong interest in core computer science subjects and problem-solving. However, it was in my 6th semester that I truly discovered my passion for teaching. It started informally โ helping my batchmates and juniors understand tough subjects like DSA, CAO, DBMS, and Computer Networks. I found that I could explain complex topics in a way that made them easier to grasp, and soon, more students started reaching out to me for help before exams, lab sessions, and coding contests. ๐ How It Grew What started as peer support quickly turned into something more structured. I began organizing: Doubt-solving sessions before exams Small group tutorials on weekends DSA practice sessions using platforms like LeetCode and HackerRank Mini-project guidance in Java and Python These sessions gained popularity across my department, and I consistently received positive feedback for making topics simple and relatable. By the time I reached my final year, I was already teaching multiple juniors in a semi-formal setup and helping them prepare for both academics and placements. I also actively contributed to project mentorships and hackathon teams, focusing on areas like Spring Boot development, AI/ML, and data-driven applications.
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
Teaching Experience in detail in BTech Tuition
I have been teaching BTech students for the past two years, with a strong focus on core computer science subjects, programming, and placement preparation. I completed my BTech in Information Technology from VIT Vellore, and teaching has been my passion ever since. My goal is to help students not only excel in exams but truly understand the subjects and apply them confidently in real-world scenarios—whether it's interviews, projects, or internships. ๐ Subjects I Teach โ Core Computer Science Subjects: Computer Architecture (CAO): Instruction cycles, pipelining, memory hierarchy, addressing modes, CPU design with practical numericals and diagrams. Data Structures & Algorithms (DSA): Arrays, linked lists, trees, graphs, sorting, recursion, and dynamic programming with a focus on logic and optimization. DBMS: ER modeling, normalization, SQL, transactions, indexing, concurrency control with MySQL/PostgreSQL practice. Computer Networks: OSI/TCP-IP, IP addressing, routing, subnetting, DNS, HTTP, TCP/UDP protocols with real-world relevance. Operating Systems: Process scheduling, memory management, synchronization, deadlocks, virtual memory explained clearly. Data Mining: Data preprocessing, classification, clustering, association rule mining using Python and Weka. AI & ML: Supervised/unsupervised learning, model building, evaluation metrics, using Python libraries (Scikit-learn, Pandas, Matplotlib). Mathematics for CS & ML: Linear algebra, probability, statistics, discrete math—essential for ML, AI, and algorithm design. โ Programming & Development: Java + Spring Boot: OOPs, collections, JDBC, REST API development, backend logic, database integration. Python Programming: Basics to intermediate with OOPs, file handling, and ML integration. Web Development (Basics): HTML, CSS, JS, API concepts, client-server model, deployment fundamentals. โ Placement & LeetCode Prep: DSA coaching for coding rounds (LeetCode, HackerRank) with personalized doubt sessions. Mock interviews, resume reviews, and interview strategy for top product-based companies. ๐จ๐ซ Teaching Style: Interactive & concept-driven: Real-life analogies and step-by-step logic building. Practice-focused: Theory backed by coding tasks and hands-on problem solving. Student-centric: Sessions tailored to academic, project, or placement goals. Whether you're preparing for exams, coding interviews, or full-stack development, I ensure you learn with clarity, confidence, and consistency.
Also have a look at
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
2
BTech Computer Science subjects
Artificial Intelligence, Computer Networks, Natural Language Processing, Java Programming, Machine Learning, Data Structures and Algorithms, Database Management Systems, Computer Architecture, Big Data Analytics, Data Warehouse and Data Mining, Network security, Object Oriented Programming & Systems, Computer Organization & Design, Number Theory and Cryptography
BTech Branch
BTech Computer Science Engineering
Experience in School or College
I completed my BTech in Information Technology from VIT Vellore, one of Indiaโs top engineering institutes. During my time at VIT, I developed a strong interest in core computer science subjects and problem-solving. However, it was in my 6th semester that I truly discovered my passion for teaching. It started informally โ helping my batchmates and juniors understand tough subjects like DSA, CAO, DBMS, and Computer Networks. I found that I could explain complex topics in a way that made them easier to grasp, and soon, more students started reaching out to me for help before exams, lab sessions, and coding contests. ๐ How It Grew What started as peer support quickly turned into something more structured. I began organizing: Doubt-solving sessions before exams Small group tutorials on weekends DSA practice sessions using platforms like LeetCode and HackerRank Mini-project guidance in Java and Python These sessions gained popularity across my department, and I consistently received positive feedback for making topics simple and relatable. By the time I reached my final year, I was already teaching multiple juniors in a semi-formal setup and helping them prepare for both academics and placements. I also actively contributed to project mentorships and hackathon teams, focusing on areas like Spring Boot development, AI/ML, and data-driven applications.
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
Teaching Experience in detail in BTech Tuition
I have been teaching BTech students for the past two years, with a strong focus on core computer science subjects, programming, and placement preparation. I completed my BTech in Information Technology from VIT Vellore, and teaching has been my passion ever since. My goal is to help students not only excel in exams but truly understand the subjects and apply them confidently in real-world scenarios—whether it's interviews, projects, or internships. ๐ Subjects I Teach โ Core Computer Science Subjects: Computer Architecture (CAO): Instruction cycles, pipelining, memory hierarchy, addressing modes, CPU design with practical numericals and diagrams. Data Structures & Algorithms (DSA): Arrays, linked lists, trees, graphs, sorting, recursion, and dynamic programming with a focus on logic and optimization. DBMS: ER modeling, normalization, SQL, transactions, indexing, concurrency control with MySQL/PostgreSQL practice. Computer Networks: OSI/TCP-IP, IP addressing, routing, subnetting, DNS, HTTP, TCP/UDP protocols with real-world relevance. Operating Systems: Process scheduling, memory management, synchronization, deadlocks, virtual memory explained clearly. Data Mining: Data preprocessing, classification, clustering, association rule mining using Python and Weka. AI & ML: Supervised/unsupervised learning, model building, evaluation metrics, using Python libraries (Scikit-learn, Pandas, Matplotlib). Mathematics for CS & ML: Linear algebra, probability, statistics, discrete math—essential for ML, AI, and algorithm design. โ Programming & Development: Java + Spring Boot: OOPs, collections, JDBC, REST API development, backend logic, database integration. Python Programming: Basics to intermediate with OOPs, file handling, and ML integration. Web Development (Basics): HTML, CSS, JS, API concepts, client-server model, deployment fundamentals. โ Placement & LeetCode Prep: DSA coaching for coding rounds (LeetCode, HackerRank) with personalized doubt sessions. Mock interviews, resume reviews, and interview strategy for top product-based companies. ๐จ๐ซ Teaching Style: Interactive & concept-driven: Real-life analogies and step-by-step logic building. Practice-focused: Theory backed by coding tasks and hands-on problem solving. Student-centric: Sessions tailored to academic, project, or placement goals. Whether you're preparing for exams, coding interviews, or full-stack development, I ensure you learn with clarity, confidence, and consistency.
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