Pranav Saluja
From Beginner to Confident Developer | DSA, Java & Real-World Projects . Innovative Computer Science Guidance for You.
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Pranav Saluja
Bachelors degree
/ 55 min
Pranav - Know your tutor
I’m Pranav Saluja, a Computer Science tutor with a strong foundation in Data Structures & Algorithms, Java, and Full Stack Development. Over the past few years, I’ve worked closely with students from different backgrounds, helping them move from confusion to clarity and from theory to real confidence in coding. My teaching style is simple: break complex concepts into small, understandable pieces and build them step by step until everything makes sense. I focus heavily on fundamentals because I believe strong basics are what truly differentiate a good developer from an average one. Whether it’s understanding recursion, mastering problem-solving patterns, or writing clean and optimized code, I ensure that students don’t just memorize solutions but actually understand the “why” behind everything they do. I also emphasize thinking like an interviewer — writing code that is not just correct, but also efficient and explainable. My sessions are highly interactive. I encourage students to ask questions, think out loud, and even make mistakes — because that’s where real learning happens. Instead of spoon-feeding solutions, I guide them with hints and structured thinking approaches so they can solve problems independently. This builds long-term confidence, which is crucial for cracking interviews and excelling in real-world development. I also integrate real-world examples and practical applications into my teaching. Whether it's building projects using React and backend technologies or preparing for coding interviews, I ensure that learning is aligned with industry expectations. I adapt my pace and teaching strategy based on each student’s level, making sure no one feels left behind or overwhelmed.
Meet Pranav
Programming tutor specialities
Code Optimization
Job readiness
Upskilling
Paired coding
Debugging
Project help
Exam prep
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Focused on real-world coding applications
Build real projects, from apps to websites.
Your programming tutor also teaches
Computer Science
Databases
Web Development
Computer Science concepts taught by Pranav
During this class, the Student and Tutor engaged in solving several Data Structures and Algorithms (DSA) problems, focusing on prime number determination, Least Common Multiple (LCM) calculation, and finding all divisors of a number. A significant emphasis was placed on optimizing solutions by applying time complexity analysis and mathematical properties. The Tutor recommended regular practice with at least two classes per week for continued progress.
Algorithmic Time Complexity Analysis
Importance of Dry Run and Debugging in DSA
Efficiently Finding All Divisors (O(√N) with Edge Case)
Least Common Multiple (LCM) Optimization
Optimizing Prime Number Checks (O(√N))
The Student and Tutor practiced solving coding problems related to number properties, specifically Armstrong and perfect numbers. Discussions covered modular code design principles and the importance of time complexity optimization using Big O notation. The Student was assigned to refine the perfect number solution with an optimized algorithm and review CS50 algorithms lectures as follow-up.
Efficient Variable Initialization for Extremes
Modular Programming with Single Responsibility Principle (SRP)
Solving Armstrong Numbers
Introduction to Perfect Numbers and Divisor Summation
Understanding Time and Space Complexity (Big O Notation)
Optimizing Divisor Finding to O(√N) Time Complexity
The Student and Tutor engaged in a Python Data Structures and Algorithms session, focusing on fundamental integer manipulation problems. They collaboratively solved and implemented algorithms for counting digits, counting odd digits, and reversing an integer, culminating in a discussion about checking for palindrome numbers. The Tutor advised on practicing these concepts and mentioned scheduling more frequent, earlier sessions.
Counting Digits in an Integer
Checking for Palindrome Numbers (Integer)
Reversing an Integer Algorithm
Extracting & Removing Digits from an Integer
Iterative Problem Solving with `while` Loops
The Student and Tutor reviewed foundational HTML concepts, including the definition of HTML, its role in web development, and the components of HTML tags and elements. They discussed HTML document structure, tag hierarchy (parent-child and siblings), and the use of attributes like `style` and `class` for element modification and styling. The Tutor encouraged the Student to use a laptop for hands-on coding in the next session and provided notes for review.
HTML: The Web's Foundation
Understanding HTML Tags and Elements
HTML Document Structure: Doctype
Root
Head
and Body
Nesting and Hierarchy of HTML Elements
HTML Attributes: 'style' for Inline Styling
The session focused on advanced SQL concepts, distinguishing between `WHERE` and `HAVING` clauses for data filtering and introducing database `JOIN` operations. Student practiced multiple SQL problems applying aggregation and conditional filtering. The Tutor also introduced foundational database theory, including normalization, anomalies, and referential integrity, recommending further study on these and database indexing.
Self Join for Hierarchical Relationships
WHERE vs. HAVING Clauses
Inner Join Efficiency and Query Optimization
Introduction to SQL Joins
Referential Integrity
Primary & Foreign Keys
Database Normalization and Anomalies
The Tutor and Student outlined a comprehensive SQL learning plan focusing on database fundamentals, including DBMS and RDBMS, and practical application using BigQuery. They reviewed key SQL concepts such as schema analysis, primary and foreign keys, and various aggregation functions, with a particular emphasis on the critical differences between the `WHERE` and `HAVING` clauses and the logical execution order of SQL queries. Future topics will include NULL handling and practice with Lead Code SQL problems.
Understanding Table Schema
Differentiating WHERE and HAVING Clauses
Logical Execution Order of SQL Queries
Core SQL Aggregate Functions
SQL GROUP BY Clause
Database Management Systems (DBMS) Overview
Teaching tools used by tutor
Jupyter Notebook
Bitbucket
Visual Studio Code
Google Colab
Postman
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