How did I land a technical role in this competitive market? And right after my college.

So much competition in the market while there is a lack of jobs so how do you stand out among 1000s of applicants for one role.

Be the best in your field - keep upskilling, keep getting better at what you do, take up courses and stay up to date with the recent trends.

Cracked a good company? Congrats!
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Before Kantar, I faced 50+ rejections 😓
My inbox was filled with “We’re moving forward with another candidate” messages.

I struggled with both the technical and behavioral rounds.
Here’s what I did to improve:

➤ Consistent DSA practice: I dedicated 3 hours every day after work to practicing DSA.

➤ Focus on System Design: I regularly worked on UML diagrams and key concepts.

➤ Prepare for behavioral rounds: I created stories for common questions and researched company values.

Rejections can really drain your motivation. It was tough to keep going after repeated setbacks. So, if you want to avoid this or are struggling right now, try to get help.

You can book a free consultation call with a senior engineer here for free: https://lnkd.in/gHPsaQh2

They’ll create a customized roadmap tailored to your goals and help you stay motivated. From technical skills to behavioral strategies, they’ll ensure you’re fully prepared for your next opportunity. 🚀

All the best!🌟

*referral tips*

You've heard and seen plenty of tips on requesting referrals.
Let me share how I evaluate them as a Senior Programmer at Kantar 🔽

☑️ Match skills to the job: I focus on whether the candidate’s skills and experience align with the job requirements.

☑️ Check the referrer’s insights: Strong referrals come with specific examples and detailed insights about the candidate.

☑️ Culture fit: I also look at whether the candidate’s values and working style align with our team and company culture.

☑️ Growth potential: Enthusiasm for the role and signs of growth potential are great indicators of future success.

I appreciate it when candidates make it easy for their referrer by providing detailed resumes and clear project highlights. It shows preparation and respect for everyone's time.

Remember, while referrals are valuable, they're just one part of the job search process. If your skills are weak, any referral strategy won’t work.

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I have said it before, I will it say it again

SQL is going to make or break the game for you.

So here’s a list of SQL Advanced Topics for your technical interviews! 🔥

𝟭. 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗝𝗼𝗶𝗻𝘀 𝗮𝗻𝗱 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀:
- Join types (INNER, LEFT, RIGHT, FULL OUTER); and
- How to use Subqueries efficiently in SELECT statements, WHERE clauses, and FROM clauses.

𝟮. 𝗪𝗶𝗻𝗱𝗼𝘄 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀:
- ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE(), LEAD(), LAG(), FIRST_VALUE(), LAST_VALUE(),
- Use of OVER() with PARTITION BY and ORDER BY clauses.

𝟯. 𝗖𝗼𝗺𝗺𝗼𝗻 𝗧𝗮𝗯𝗹𝗲 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀 (𝗖𝗧𝗘𝘀):
- Using WITH clause for creating temporary result sets that can be referred to within a SELECT, INSERT, UPDATE, or DELETE statement.

𝟰. 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗲 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗚𝗿𝗼𝘂𝗽𝗶𝗻𝗴:
- SUM, AVG, COUNT, MIN, MAX) and GROUP BY,
- ROLLUP, CUBE, and GROUPING SETS for multi-level aggregation.

𝟱. 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀:
- Techniques like pivoting (converting rows to columns);
- Unpivoting (converting columns to rows);
- Handling JSON and XML data formats

𝟲. 𝗜𝗻𝗱𝗲𝘅𝗶𝗻𝗴 𝗮𝗻𝗱 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗧𝘂𝗻𝗶𝗻𝗴:
- Understanding how indexes work;
- How to optimize queries for performance, including the use of EXPLAIN plans to analyze query performance.

𝟳. 𝗦𝘁𝗼𝗿𝗲𝗱 𝗣𝗿𝗼𝗰𝗲𝗱𝘂𝗿𝗲𝘀, 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗧𝗿𝗶𝗴𝗴𝗲𝗿𝘀:
- Creating and using stored procedures;
- Functions for repetitive tasks; and
- Triggers for automated data manipulation or integrity checks.

𝟴. 𝗗𝗮𝘁𝗮 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 (𝗗𝗗𝗟) 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 (𝗗𝗖𝗟):
- Advanced knowledge of schema design,
- Table creation and Modification statements;
- Role and permission management using GRANT and REVOKE.

𝟵. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀:
- Understanding transaction control with COMMIT, ROLLBACK, and SAVEPOINT;

𝟭𝟬. 𝗤𝘂𝗲𝗿𝘆 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀:
- Techniques for writing efficient SQL queries, avoiding common pitfalls; and
- Adhering to best practices for readability and maintainability.

𝟭𝟭. 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 (𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗼𝗳 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀):
- Star schema, snowflake schema, fact tables

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Python is Google’s official language and the most asked in interviews💯
Here are the most asked 10 Python interview questions

✅ Reverse a String in Python

✅ Implement a Binary Search Algorithm

✅ Find the Factorial of a Number Using Recursion

✅ Check if a Number is Prime

✅ Merge Two Sorted Lists

✅ Find the Second Largest Element in an Array

✅ Remove Duplicates from a List

✅ Find the Intersection of Two Arrays

✅ Check if Two Strings are Anagrams

✅ Count the Frequency of Each Element in a List

But just practicing these questions won’t help; to actually clear the interviews, focus on

➤ Logic building: Understand the why behind each question.

➤ Mock interviews: Give timed mock interviews to improve your coding skills.

You can try using platforms like Preplaced to connect with SDEs, who will conduct your mock interviews and even help with interview preparation.

Try booking a FREE call here - https://explore.preplaced.in/FtrJQv

They will take complete responsibility for your preparation, provide live training, conduct mock interviews, offer referrals and support you until you crack your dream role. So, do connect!🚀

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Have you ever wondered what it takes to land a Data Engineer role at Microsoft ? 🧠

Let me tell you → it’s an intense, multi-round journey. One of my knows had an opportunity to interview and here’s the process for you 👇


📌 Round 1: SQL & Stats

It began with an online assessment that challenged him with SQL queries and statistical concepts. Mastering table joins and understanding hypothesis testing was key.
📌 Round 2: Python & Algorithms

Next was technical coding in Python, focusing on data structures and algorithm optimization. He had to solve real-world problems with efficiency, especially in large datasets.

📌 Round 3: ML

This round tested his grasp of ML models like logistic regression and clustering—not just understanding them, but applying them to solve practical business challenges.
📌 Round 4: Behavioral Fit

The final round centred on how well he works within a team and handles challenges. Microsoft emphasises teamwork, conflict resolution, and the ability to handle multiple deadlines.
For anyone who is aiming a switch to a Data Scientist role He stressed that success depends on balancing technical expertise with strong business-focused problem-solving.

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Without expecting anything , I’m helping you all with updates , opportunities and resources

Today I need small favour

Could you please give a like to my innovative post ✉️

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Stay updated , will share openings regularly🤩

Wipro Hiring for Developer
Location: Bengaluru
Qualification: Bachelor's / Master's degree
Batch: Recent Batches
Experience: Fresher
Salary: ₹4 to ₹8 LPA (Via Glassdoor)
✅ 𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸: https://freshershunt.in/wipro-careers-2024-hiring-for-developer/

𝗛𝗼𝘄 𝘁𝗼 𝗮𝗽𝗽𝗹𝘆: https://youtu.be/Q4afjdBqZio

We are looking for Professionals who want to work and settle in #canada #australia #uk #germany

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Please hit like or comment so that I can review your profile.

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*Hiring opportunity*


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comment *intrested* if you are really intrested or you can fill the form