Template to ask for referrals
(For freshers)
👇👇
(For freshers)
👇👇
Hi [Name],
I hope this message finds you well.
My name is [Your Name], and I recently graduated with a degree in [Your Degree] from [Your University]. I am passionate about data analytics and have developed a strong foundation through my coursework and practical projects.
I am currently seeking opportunities to start my career as a Data Analyst and came across the exciting roles at [Company Name].
I am reaching out to you because I admire your professional journey and expertise in the field of data analytics. Your role at [Company Name] is particularly inspiring, and I am very interested in contributing to such an innovative and dynamic team.
I am confident that my skills and enthusiasm would make me a valuable addition to this role [Job ID / Link]. If possible, I would be incredibly grateful for your referral or any advice you could offer on how to best position myself for this opportunity.
Thank you very much for considering my request. I understand how busy you must be and truly appreciate any assistance you can provide.
Best regards,
[Your Full Name]
[Your Email Address]❤6
If you're a software engineer in your 20s, beware of this habit, it can kill your growth faster than anything else.
► Fake learning.
It feels productive, but it's not.
Let me give you a great example:
You wake up fired up.
Open YouTube, start a system design video.
An hour goes by. You nod, you get it (or so you think).
You switch to a course on Spring Boot. Build a to-do app.
Then read a blog on Kafka. Scroll through a thread on Redis.
By evening, you feel like you’ve had a productive day.
But two weeks later?
You can’t recall a single implementation detail.
You haven’t written a line of code around those topics.
You just consumed, but never applied.
That’s fake learning.
It’s learning without doing.
It gives you the illusion of growth, while keeping you stuck.
📌 Here’s how to fix it:
Watch fewer tutorials. Build more things.
Learn with a goal: “I’ll use this to build X.”
After every video, write your own summary.
Recode it from scratch.
Start documenting what you really understood vs. what felt easy.
Real growth happens when you struggle.
When you break things. When you debug.
Passive learning is comfortable.
But discomfort is where the actual skills are built.
Your 20s are for laying that solid technical foundation.
Don’t waste them just “watching smart.”
Build. Ship. Reflect.
That’s how you grow.
Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
► Fake learning.
It feels productive, but it's not.
Let me give you a great example:
You wake up fired up.
Open YouTube, start a system design video.
An hour goes by. You nod, you get it (or so you think).
You switch to a course on Spring Boot. Build a to-do app.
Then read a blog on Kafka. Scroll through a thread on Redis.
By evening, you feel like you’ve had a productive day.
But two weeks later?
You can’t recall a single implementation detail.
You haven’t written a line of code around those topics.
You just consumed, but never applied.
That’s fake learning.
It’s learning without doing.
It gives you the illusion of growth, while keeping you stuck.
📌 Here’s how to fix it:
Watch fewer tutorials. Build more things.
Learn with a goal: “I’ll use this to build X.”
After every video, write your own summary.
Recode it from scratch.
Start documenting what you really understood vs. what felt easy.
Real growth happens when you struggle.
When you break things. When you debug.
Passive learning is comfortable.
But discomfort is where the actual skills are built.
Your 20s are for laying that solid technical foundation.
Don’t waste them just “watching smart.”
Build. Ship. Reflect.
That’s how you grow.
Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
❤4
📊 Preparing for a Power BI Interview? Here’s What You Need to Know!
If you're aiming for a business intelligence or analyst role, Power BI skills are a big plus.
Basics:
→ Understand what Power BI is, how to connect to data sources, and how to create simple visualizations and dashboards.
Intermediate:
→ Learn about data modeling, relationships, and using DAX (Data Analysis Expressions) for calculated columns and measures.
Advanced:
→ Dive into performance optimization, role-level security, advanced DAX functions, and integrating Power BI with tools like Excel or Azure.
🡲 Quick Tip: Build a sample dashboard and be ready to explain the decisions behind your visualizations.
React ♥️ For More
If you're aiming for a business intelligence or analyst role, Power BI skills are a big plus.
Basics:
→ Understand what Power BI is, how to connect to data sources, and how to create simple visualizations and dashboards.
Intermediate:
→ Learn about data modeling, relationships, and using DAX (Data Analysis Expressions) for calculated columns and measures.
Advanced:
→ Dive into performance optimization, role-level security, advanced DAX functions, and integrating Power BI with tools like Excel or Azure.
🡲 Quick Tip: Build a sample dashboard and be ready to explain the decisions behind your visualizations.
React ♥️ For More
❤1
How to Learn Java in 2025
1. Set Clear Goals:
- Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
2. Choose a Structured Learning Path:
- Follow a structured learning path that covers the fundamentals of Java, object-oriented programming principles, and essential libraries.
3. Start with the Basics:
- Begin with the core concepts of Java, such as variables, data types, operators, and control flow statements.
4. Master Object-Oriented Programming:
- Learn about classes, objects, inheritance, polymorphism, and encapsulation.
5. Explore Java Libraries:
- Familiarize yourself with commonly used Java libraries, such as those for input/output, networking, and data structures.
6. Practice Regularly:
- Write code regularly to reinforce your understanding and identify areas where you need more practice.
7. Leverage Online Resources:
- Utilize online courses, tutorials, and documentation to supplement your learning.
8. Join a Coding Community:
- Engage with online coding communities and forums to ask questions, share knowledge, and collaborate on projects.
9. Build Projects:
- Create simple projects to apply your skills and gain practical experience.
10. Stay Updated with Java Releases:
- Keep up with the latest Java releases and updates to ensure your knowledge remains current.
11. Explore Frameworks and Tools:
- Learn about popular Java frameworks and tools, such as Spring Boot, Maven, and IntelliJ IDEA.
12. Contribute to Open Source Projects:
- Contribute to open source Java projects to gain real-world experience and showcase your skills.
13. Seek Feedback and Mentoring:
- Seek feedback from experienced Java developers and consider mentorship opportunities to accelerate your learning.
14. Prepare for Certifications:
- Consider pursuing Java certifications, such as the Oracle Certified Java Programmer (OCJP), to validate your skills.
15. Network with Java Developers:
- Attend Java meetups, conferences, and online events to connect with other Java developers and learn from their experiences.
1. Set Clear Goals:
- Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
2. Choose a Structured Learning Path:
- Follow a structured learning path that covers the fundamentals of Java, object-oriented programming principles, and essential libraries.
3. Start with the Basics:
- Begin with the core concepts of Java, such as variables, data types, operators, and control flow statements.
4. Master Object-Oriented Programming:
- Learn about classes, objects, inheritance, polymorphism, and encapsulation.
5. Explore Java Libraries:
- Familiarize yourself with commonly used Java libraries, such as those for input/output, networking, and data structures.
6. Practice Regularly:
- Write code regularly to reinforce your understanding and identify areas where you need more practice.
7. Leverage Online Resources:
- Utilize online courses, tutorials, and documentation to supplement your learning.
8. Join a Coding Community:
- Engage with online coding communities and forums to ask questions, share knowledge, and collaborate on projects.
9. Build Projects:
- Create simple projects to apply your skills and gain practical experience.
10. Stay Updated with Java Releases:
- Keep up with the latest Java releases and updates to ensure your knowledge remains current.
11. Explore Frameworks and Tools:
- Learn about popular Java frameworks and tools, such as Spring Boot, Maven, and IntelliJ IDEA.
12. Contribute to Open Source Projects:
- Contribute to open source Java projects to gain real-world experience and showcase your skills.
13. Seek Feedback and Mentoring:
- Seek feedback from experienced Java developers and consider mentorship opportunities to accelerate your learning.
14. Prepare for Certifications:
- Consider pursuing Java certifications, such as the Oracle Certified Java Programmer (OCJP), to validate your skills.
15. Network with Java Developers:
- Attend Java meetups, conferences, and online events to connect with other Java developers and learn from their experiences.
❤3
Getting started with SQL comparison operators.
If you're new to SQL, understanding comparison operators is one of the first things you'll need to learn.
They’re really important for filtering and analyzing your data. Let’s break them down with some simple examples.
Comparison operators let you compare values in SQL queries. Here are the basics:
1. = (Equal To): Checks if two values are the same.
Example: SELECT * FROM Employees WHERE Age = 30; (This will find all employees who are exactly 30 years old).
2. <> or != (Not Equal To): Checks if two values are different.
Example: SELECT * FROM Employees WHERE Age <> 30; (This will find all employees who are not 30 years old).
3. > (Greater Than): Checks if a value is larger.
Example: SELECT * FROM Employees WHERE Salary > 50000; (This will list all employees earning more than 50,000).
4. < (Less Than): Checks if a value is smaller.
Example: SELECT * FROM Employees WHERE Salary < 50000; (This will show all employees earning less than 50,000).
5. >= (Greater Than or Equal To): Checks if a value is larger or equal.
Example: SELECT * FROM Employees WHERE Age >= 25; (This will find all employees who are 25 years old or older).
6. <= (Less Than or Equal To): Checks if a value is smaller or equal.
Example: SELECT * FROM Employees WHERE Age <= 30; (This will find all employees who are 30 years old or younger).
These simple operators can help you get more accurate results in your SQL queries.
Keep practicing and you’ll be great at SQL in no time.
Like this post if you need more 👍❤️
Hope it helps :)
If you're new to SQL, understanding comparison operators is one of the first things you'll need to learn.
They’re really important for filtering and analyzing your data. Let’s break them down with some simple examples.
Comparison operators let you compare values in SQL queries. Here are the basics:
1. = (Equal To): Checks if two values are the same.
Example: SELECT * FROM Employees WHERE Age = 30; (This will find all employees who are exactly 30 years old).
2. <> or != (Not Equal To): Checks if two values are different.
Example: SELECT * FROM Employees WHERE Age <> 30; (This will find all employees who are not 30 years old).
3. > (Greater Than): Checks if a value is larger.
Example: SELECT * FROM Employees WHERE Salary > 50000; (This will list all employees earning more than 50,000).
4. < (Less Than): Checks if a value is smaller.
Example: SELECT * FROM Employees WHERE Salary < 50000; (This will show all employees earning less than 50,000).
5. >= (Greater Than or Equal To): Checks if a value is larger or equal.
Example: SELECT * FROM Employees WHERE Age >= 25; (This will find all employees who are 25 years old or older).
6. <= (Less Than or Equal To): Checks if a value is smaller or equal.
Example: SELECT * FROM Employees WHERE Age <= 30; (This will find all employees who are 30 years old or younger).
These simple operators can help you get more accurate results in your SQL queries.
Keep practicing and you’ll be great at SQL in no time.
Like this post if you need more 👍❤️
Hope it helps :)
❤2
What is Docker ?
1 • Development
Lets say You created an Application
And that's working fine in your machine
2 • Production
But in Production it doesn't work properly
Developers experince it a lot
3 • That is when the Developer's famous words are spoken
Client - Your application is not working 😡
Developer - It's working on my Machine 😒
4 • The Reason could be due to:
• Dependencies
• Libraries and versions
• Framework
• OS Level features
• Microservices
That the developers machine has but not there in the production environment
5 • DOCKER
We need a standardized way to package the application with its dependencies and deploy it on any environment.
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.
So it will always work the same regardless of its environment
6 • How Does Docker Work?
Docker packages an application and all its dependencies in a virtual container that can run on any Linux server.
7 • Each container runs as an isolated process in the user space and take up less space than regular VMs due to their layered architecture.
1 • Development
Lets say You created an Application
And that's working fine in your machine
2 • Production
But in Production it doesn't work properly
Developers experince it a lot
3 • That is when the Developer's famous words are spoken
Client - Your application is not working 😡
Developer - It's working on my Machine 😒
4 • The Reason could be due to:
• Dependencies
• Libraries and versions
• Framework
• OS Level features
• Microservices
That the developers machine has but not there in the production environment
5 • DOCKER
We need a standardized way to package the application with its dependencies and deploy it on any environment.
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.
So it will always work the same regardless of its environment
6 • How Does Docker Work?
Docker packages an application and all its dependencies in a virtual container that can run on any Linux server.
7 • Each container runs as an isolated process in the user space and take up less space than regular VMs due to their layered architecture.
❤7