Pranav Saluja
From Beginner to Confident Developer | DSA, Java & Real-World Projects . Innovative Computer Science Guidance for You.
Loading...
Show all photos
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 Review
Code Optimization
Assignment help
Homework help
Job readiness
Debugging
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
Elementary School students
High School students
Middle School students
Rated 5 stars consistently
Students appreciate how lessons simplify complex coding concepts.
100% on-time college submissions
Students meet deadlines with tutor support.
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
Student and Tutor covered Python file handling, including writing, reading, and appending to text files, as well as working with CSV files. They also learned about functions and applied these concepts to build functions for generating mock sensor data and detecting anomalies, directly addressing the requirements of the Student's assignment. The plan is to complete the assignment in the next class and then move on to data visualizations.
Introduction to File Handling & Data Persistence
Working with CSV Files in Python
Python Functions: Reusability and Structure
Simulating Sensor Data & Anomaly Detection
The Tutor and Student began reviewing a Python assignment to build a robotic arm monitoring system. They covered simulating sensor data using Python's `random` module, implementing anomaly detection with conditional logic, and discussed data logging into JSON/CSV files and the use of the `matplotlib` library for visualization. Future sessions will focus on file handling and data visualization theory.
Introduction to Data Visualization with Matplotlib
Python Lists for Data Collection
Structured Data Logging (JSON & CSV Concepts)
Anomaly Detection using Control Logic
Simulating Sensor Data with Python's `random` Module
Robotic Arm Monitoring System Overview
The Student and Tutor reviewed key concepts of distributed databases in preparation for an upcoming exam. They covered the definition, problems with centralized systems, advantages and disadvantages of distributed databases, and the distinction between distributed processing and distributed databases. The session also detailed the components of a distributed database system and different types of transparency, with the Tutor sharing notes for revision.
Components: Transaction Processor (TP) & Data Processor (DP)
Distributed Processing vs. Distributed Databases
Distributed Databases: Core Concepts & Rationale
Distributed Database Transparency
Types of Transparency: Location
Fragmentation
Replication
The Student and Tutor reviewed various database concurrency control mechanisms, focusing on Optimistic Concurrency Control (OCC) and its three phases. They then discussed database recovery management, covering causes of failure, the role of transaction logs, and key logging concepts such as Write-Ahead Logging and checkpoints. The session concluded by comparing Right-Through and Deferred-Write recovery techniques, and defining serializability, with a plan to briefly cover deadlock prevention schemes in the next class.
Optimistic Concurrency Control (OCC)
Phases of Optimistic Concurrency Control
Comparison of Concurrency Control Methods
Database Recovery Management Principles
Transaction Logging & Key Recovery Concepts
Recovery Procedures: Write-Through vs. Deferred Write
Serializability
The Student and Tutor extensively reviewed database transaction management concepts, including ACID properties and common concurrency control problems. They then explored various locking mechanisms like binary, shared, and exclusive locks, and were introduced to timestamping as an alternative concurrency control method. The Student plans to attempt a practice test soon, which they will discuss with the Tutor afterward.
Timestamping for Concurrency Control
Binary vs. Shared/Exclusive Locks
Concurrency Control Problems
ACID Properties of Transactions
Locking Methods: Lifecycle & Granularity
The tutor and student worked on practical SQL query exercises, focusing on joins, aggregate functions (`AVG`, `COUNT`, `SUM`), `GROUP BY`, `HAVING`, and `CONCAT`. They practiced problem-solving for various business requirements, including finding highest averages, counting orders, and filtering customer data. The next session is planned to cover more advanced SQL concepts and assignment-related questions.
SQL Joins (Inner Join)
Aggregate Functions with GROUP BY
HAVING Clause for Group Filtering
String Concatenation (CONCAT)
Filtering with LIKE Operator
Teaching tools used by tutor
Postman
Google Colab
Jupyter Notebook
PyCharm
Visual Studio Code
Coding tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.