Bijay

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in ETL Testing Training

18

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Telecom Testing Training

10

Teaching Experience in detail in Telecom Testing Training

I have over 18+ years of experience in Telecom BSS, Billing, and Data Quality Testing, and for the past several years I have been actively training freshers, working professionals, and QA engineers to become job-ready Telecom Testers. My teaching is completely based on real-time Telecom projects, not just theory. I have worked on live telecom environments for MTN, Vodafone, Airtel and global telecom operators, covering Prepaid, Postpaid, Roaming, Interconnect Billing, Mediation, and Revenue Assurance systems. I bring these same real project scenarios into my classroom. How I Train Students I train students exactly how telecom testing happens in real projects: I first build a strong Telecom foundation by explaining: GSM, LTE & 5G basics Call flows (Voice, SMS, Data) Network elements like MSC, HLR, HSS, SGSN, GGSN Prepaid vs Postpaid architecture Then I move into Telecom BSS and Billing testing, where students learn: Rating & charging validation CDR processing Mediation testing Invoicing & usage verification Roaming and interconnect settlement Revenue leakage and reconciliation Students practice real test scenarios, such as: Verifying call charges from switch to billing system Validating data usage and SMS billing Testing roaming call charges Checking invoice accuracy for enterprise and retail customers Hands-on Testing Approach I provide practical training using: SQL for validating billing data and CDRs Postman / SOAP UI for Telecom APIs Excel for reconciliation and revenue analysis JIRA / ALM for defect tracking Telecom logs, CDR samples, and billing files Students work on live-style telecom test cases, just like in MTN or Vodafone projects. Industry-Focused Training My training is designed to match what telecom companies actually expect from testers. I also guide students on: How to answer Telecom interview questions How to write Telecom-specific resumes How to explain call flow and billing scenarios in interviews Many of my trainees have successfully moved into roles like: Telecom Test Engineer BSS Tester Billing QA Analyst Revenue Assurance Tester My goal is not just to teach tools, but to make students confident Telecom professionals who can handle real project work from day one.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Python Training classes

10

Teaching Experience in detail in Python Training classes

I have extensive experience in training students, freshers, and working professionals in Python programming, focusing on building both strong fundamentals and real-world coding skills that are required in today’s IT industry. My Python training approach is practical, project-based, and career-oriented. I do not just teach syntax; I teach how Python is used in software testing, data processing, automation, and enterprise applications. How I Train Python I start by building a strong foundation, ensuring every student clearly understands: Python syntax and variables Data types, loops, and conditional statements Functions, modules, and packages Object-Oriented Programming (OOPs) concepts Once the basics are clear, I move students into real-world Python usage, including: File handling and data processing Working with CSV, Excel, and JSON files Error handling and debugging Writing clean, reusable, and optimized code Hands-on Learning Method Every concept is taught with: Live coding demonstrations Hands-on exercises Real-life examples Assignments after every topic Students write code in every session, not just watch. I guide them in how to think like a programmer, how to debug errors, and how to improve code quality. Python for Career & Industry I also train students in: Python for Automation Testing Writing test scripts using Python Data validation using Python API testing using Python Using Python in ETL & Data Quality projects This makes the training especially useful for QA professionals, Data Engineers, and IT professionals who want to upgrade their skills. Project-Based Learning Students work on: Mini projects like file processing, data validation, and automation scripts Real-world style assignments Industry-oriented problem solving This helps them gain confidence to work in real projects. Student Outcomes After completing the training, students are able to: Write clean Python programs Automate repetitive tasks Work with data files and APIs Use Python in testing and data projects Clear Python technical interviews My goal is to make every student job-ready in Python, not just book-ready.