In this blog, we are sharing a conversation from one of our recent podcasts with a successful candidate from our Data and Business Analytics Program. Shrey Koradiya, a fresh graduate from Vadodara, Gujarat, shares his inspiring journey of securing a data analyst role at Exiler, a startup based in Ahmedabad. In this podcast, Shrey takes us through his experience, the challenges he faced, and how the program at Jobaaj Learning helped him bridge the gap from education to his first professional role.

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Podcaster:
Everyone, we are back with another podcast featuring a successful placement. Today, we have Mr. Shrey Koradhya with us. How are you, Shrey?

Shrey:
I’m fine, sir. How are you?

Podcaster:
I'm doing well, thank you. So, Shrey, can you introduce yourself to our audience?

Shrey:
Hello, everyone. My name is Shrey Koradhya, and I am from Vadodara, Gujarat. I recently completed my data analytics program with Jobaaj Learning and I am now placed at Exiler, a company based in Ahmedabad, where I work as a Data Analyst.

Podcaster:
Great! So, Shrey, could you tell our audience a bit about Exiler? What does the company do?

Shrey:
Exiler is a data solutions company. They interact with clients to collect data, preprocess it, and then provide insights based on the client's requirements. Depending on the need, they can provide direct insights or visualizations to help businesses grow and make informed decisions.

Podcaster:
So, Exiler is a data analytics firm that specializes in providing tailored data solutions to clients?

Shrey:
Yes, exactly.

Podcaster:
And what is your educational background, Shrey?

Shrey:
I completed my Bachelor’s in Technology with a specialization in Information Technology from Parul University in Vadodara, and I am a 2025 pass-out.

Podcaster:
So you graduated recently?

Shrey:
Yes, that’s correct.

Podcaster:
Did you have any prior relevant experience before getting placed in your current role?

Shrey:
No, I did not.

Podcaster:
That means you secured a role as a data analyst right after graduation. That's impressive! Now, Shrey, you mentioned that you completed your BTech in IT. What made you decide to enroll in an upskilling program like ours for data analytics?

Shrey:
In college, we get to learn a variety of subjects, but there is little focus on any one specific field. With so many other commitments—like cultural events and exams—I didn’t have in-depth exposure to any particular field such as data analytics. After graduating, I realized the importance of focusing on a single skill, and that’s when I joined the Jobaaj Learning data analytics program. The program gave me a comprehensive understanding of data analytics, from basics to advanced tools, and helped me build the skills needed for my career. My interest in data analytics was also piqued during college when we studied the importance of data in business growth and decision-making.

Podcaster:
So you were already interested in data during college. When did you enroll in the program with Jobaaj Learning?

Shrey:
I enrolled in March and started the program on April 25th.

Podcaster:
That’s only five months ago!

Shrey:
Yes, that's correct.

Podcaster:
During the program, I believe you worked on assignments with your program coordinator, Kashish. What kind of assignments did you work on?

Shrey:
I completed my learning in June, and after that, I was given a list of assignments to help me deepen my understanding. These assignments covered a variety of tools like Excel and PowerBI, and other important skills. Each assignment was designed to help us practice and showcase projects that would be helpful during interviews.

Podcaster:
And after completing these assignments, you entered the placement process, right?

Shrey:
Yes.

Podcaster:
How long did the placement process take?

Shrey:
The placement team contacted me and started building my profile from scratch. They worked on my LinkedIn and resume, which took about 7-10 days. After that, they started applying to companies on LinkedIn and other portals.

Podcaster:
So, in just 10 to 15 days, you had your job offer?

Shrey:
Yes, that’s right!

Podcaster:
That’s amazing! Some students face multiple rejections before landing a job. Was this your first interview?

Shrey:
I had given a couple of interviews before, but this was my third or fourth one.

Podcaster:
So, in less than two weeks, you gave two or three interviews and landed this role? That’s fantastic! In your opinion, why do you think some people take longer to get placed?

Shrey:
It really depends on the company and the role you’re applying for. For example, MNCs often have longer processes, while walk-in interviews at smaller companies might be faster. In my case, Exiler is a startup, and their interview process was completed in one day. They don’t conduct walk-ins, but I got a referral from Jobaaj. It was a one-day process with three interviews in a row. So, it really depends on the type of company and role.

Podcaster:
That’s a great point. Now, Shrey, as a BTech graduate who has just landed your first role, what advice would you give to others who are still struggling to find a good job, especially those who have a BTech, MSc, or MTech but are still looking for their dream role?

Shrey:
My advice would be to keep trying. After every interview, if you feel like you missed something, work on it. Don’t get discouraged by rejections. I didn’t get placed in my college’s placement year either, but I kept working on my skills. It’s a matter of time. You will get there if you keep improving and staying patient. Everything happens in due time. Just be calm, work on your weaknesses, and wait for the right opportunity. It’s a patience game.

..............

Don’t miss the full conversation—watch the podcast now and get inspired by Shrey’s journey!

 

General interview questions answered by Shrey during his selection process

What do you understand by data preprocessing, and why is it important?

Sample Answer: Data preprocessing involves cleaning and transforming raw data into a format that can be easily analyzed. It’s crucial because raw data often contains errors, missing values, or irrelevant information that can skew results. Preprocessing ensures that the data is accurate, consistent, and ready for analysis, which ultimately leads to more reliable insights. In my experience, I have used Excel and SQL for preprocessing tasks like data cleaning, filling in missing values, and standardizing data formats.

Can you explain how you would visualize data for a business that wants to track its sales performance?

Sample Answer: For tracking sales performance, I would start by identifying key metrics such as total sales, sales growth, and performance by region or product category. Using PowerBI, I would create interactive dashboards with line charts to show sales trends over time, bar charts for performance comparisons, and pie charts to break down sales by region or product. I would also include filters to allow stakeholders to drill down into specific periods or data segments for more detailed insights.

What is the difference between inner join, left join, and right join in SQL?

Sample Answer: In SQL, joins are used to combine records from two or more tables based on a related column.

  • Inner Join: Returns only the rows where there is a match in both tables.

  • Left Join (or Left Outer Join): Returns all rows from the left table and the matched rows from the right table. If there is no match, NULL values are returned for the right table's columns.

  • Right Join (or Right Outer Join): Returns all rows from the right table and the matched rows from the left table. If there is no match, NULL values are returned for the left table's columns.

Explain normalization in databases. Why is it important?

Sample Answer: Normalization is the process of organizing data in a database to reduce redundancy and dependency by dividing large tables into smaller ones. The main goal is to ensure data integrity. It’s important because it:

  • Eliminates duplicate data.

  • Reduces the amount of data storage needed.

  • Improves the efficiency of queries and updates by reducing the likelihood of anomalies.
    There are several normal forms (1NF, 2NF, 3NF, etc.), and each one helps structure the data more efficiently.

What is a pivot table in Excel, and how do you use it to summarize data?

Sample Answer: A pivot table is a data summarization tool in Excel that is used to automatically sort, count, and total data from a large dataset. It helps to group data, perform calculations, and create an interactive summary report.
To use a pivot table, you:

  1. Select the data you want to summarize.

  2. Insert a pivot table from the "Insert" menu.

  3. Drag fields into the Rows, Columns, Values, and Filters sections to define the structure.
    For example, if you have sales data, you can create a pivot table to show total sales per region, or calculate the average sales per product category.

Can you explain what a DAX function is in PowerBI and give an example?

Sample Answer: DAX (Data Analysis Expressions) is a formula language used in PowerBI, Excel, and other Microsoft tools to create custom calculations and aggregations.
For example, if you wanted to calculate the total sales for a particular product category, you could use the following DAX expression:
TotalSales = SUM(Sales[Amount])
This sums the sales amounts in the 'Sales' table. DAX can be used for more complex calculations, including time intelligence functions to calculate year-over-year growth or moving averages.