Ravi Kumar's Jobaaj Learnings Review: From B.Com Graduate to MIS Executive

"Data analytics is a moderate-level field. Anyone from any background can enter if they have proper guidance. It's not limited to technical backgrounds. With the right mentor, anyone can learn and grow in this domain." — Ravi Kumar

Ravi Kumar is from Hyderabad and completed his B.Com in 2023 with a GPA of 8.256, working part-time alongside his degree for about two years. He had no prior exposure to data analytics — relatives suggested the field — and enrolled in Jobaaj Learnings' Data Analytics program after attending a free workshop. He now works as an MIS Executive at a recovery company.

If you are searching “is Jobaaj real or fake”, “is Jobaaj Learnings genuine” or “is the data analytics course worth it”, be clear about what this particular review supports. Ravi rates the modules and mentorship 9 out of 10 — but he states plainly that he found the job himself on WorkIndia, and that the role is MIS Executive rather than data analyst. That is a real outcome from a commerce background with no technical history, and it is a more modest claim than a placement story. Read it alongside the other accounts in our Interview Series and the wider feedback on the reviews page.

Who Is Ravi Kumar? His Background Before Data Analytics

Ravi is from Hyderabad and completed his B.Com in 2023 with a GPA of 8.256. He was not a full-time student only — he worked part-time as a service provider for around two years while studying.

After graduating he joined an apprenticeship programme, and stayed about six months. His assessment of it is short and useful: “During my apprenticeship, I wasn't getting much learning or growth.” That, rather than a grand plan, is what sent him looking.

How He Ended Up in Analytics Without Planning To

Ravi is unusually honest about not having a strategy. He did not know much about data analytics before he started. Two things pointed him at it:

• Relatives suggested the field as something worth looking into.
• A free workshop he found through an Instagram post, which he says helped him understand what the opportunities in the field actually were.

He enrolled in the Data Analytics course in June. If you are reading this without a technical background and without a clear plan, that is roughly where Ravi was standing.

His View on Whether Any Background Can Switch

Asked directly whether someone from BA, BBA, B.Com or mechanical engineering could enter data analytics, Ravi's answer was measured rather than promotional:

"Yes sir, data analytics is a moderate-level field. Anyone from any background can enter if they have proper guidance. It's not limited to technical backgrounds. With the right mentor, anyone can learn and grow in this domain."

Note the condition he attaches twice: proper guidance, the right mentor. He does not claim the field is easy or that the degree is irrelevant — he calls it moderate-level and conditional on being taught properly.

The Outcome: MIS Executive, Found on WorkIndia

Ravi's own account of how he got hired:

"I recently got placed in a recovery company as an MIS Executive. I found this job on my own through the WorkIndia platform and joined in January."

Two things are worth stating plainly rather than glossing:

• He sourced the job himself on a public job platform, not through placement support.
• The title is MIS Executive, not Data Analyst. MIS work is reporting and data management — adjacent to analytics and built on the same Excel and SQL foundation, but it is not the same title.

At the time of the conversation he had been in the role only a few days.

What He Said About the Course and Mentorship

On the learning itself, Ravi is positive and brief: he describes the six-to-seven-month journey as “very beneficial,” says it helped shape his career, says he loved the modules, and describes the mentor as supportive throughout.

Asked to rate the quality of education, mentorship and course content out of 10, he gave 9. He was not asked what the missing point was, and did not volunteer it.

Pros and Cons, Based on Ravi's Account

What worked:

• A free workshop that gave him enough understanding of the field to commit to it
• Modules he rates highly, over a six-to-seven-month structure
• Mentor support he describes as consistent
• Enough skill to move from a stagnant apprenticeship into a paid reporting role

MIS and Data Analyst Interview Questions to Prepare For

What tools and technologies are you familiar with?

Model answer: MS Excel to an advanced level — VLOOKUP, IF, COUNTIFS and pivot tables — along with SQL for querying data and Power BI for dashboards. I have applied all three on small projects, including sales tracking dashboards and customer reports.

Explain a project you worked on during your training.

Model answer: A sales analysis dashboard built in Excel and Power BI. I cleaned and structured raw data in Excel, calculated KPIs such as total sales, top products and region-wise performance, then visualised them in Power BI. It taught me the full sequence — cleaning, transformation, visualisation — on data that was not already tidy.

What's the difference between COUNTIFS and SUMIFS in Excel?

Model answer: COUNTIFS counts the cells that meet multiple criteria; SUMIFS adds up values that meet multiple criteria. COUNTIFS tells you how many sales happened in a given region and month; SUMIFS tells you what those sales were worth.

How do you handle missing or incorrect data?

Model answer: Identify the gaps first, with filters or conditional formatting, then judge the impact. If the missing rows are a small share of the dataset, dropping them may be acceptable; otherwise impute using the mode or the average depending on the data type. For values that are present but wrong, cross-check against the original source before correcting them.

Why should we hire you for this MIS or data analyst role?

Model answer: A commerce degree gives me the business context to know what a number means, and the analytics training gives me the tools to produce it. I have worked in real environments through part-time roles, and I took the initiative to upskill on my own rather than waiting to be trained.

Ravi's Tips If You're Considering the Switch

• Get guidance rather than self-teaching. He attaches that condition to his own claim that anyone can enter the field.
• Attend the free workshop before paying. That is what turned a relative's suggestion into a decision for him.
• Don't wait for a placement to start applying. He found his own role on a public job platform while the training gave him something to put on the CV.
• Be open to adjacent titles. His first job is MIS Executive, not Data Analyst — the same Excel and SQL foundation, entered through a door that was actually open.
• Leave a role that isn't teaching you anything. Six months of an apprenticeship with no growth is what prompted the change.

Full Podcast Transcript

The complete conversation, unedited.

Frequently Asked Questions

Is Jobaaj Learnings genuine, or is it fake?

This page documents one recorded case: Ravi Kumar, a 2023 B.Com graduate from Hyderabad with no technical background, who completed the six-to-seven-month Data Analytics course, rates the modules and mentorship 9/10, and is now working as an MIS Executive. He states on camera that he found the job himself on WorkIndia. That is a real outcome with an honest limit attached. See the wider review set on the reviews page.

Did Jobaaj Learnings place him in the job?

No. He says explicitly that he found the role himself through the WorkIndia platform. What he credits the programme with is the modules and the mentorship.

Can a B.Com graduate get into data analytics?

Ravi did, from a standing start with no knowledge of the field. His own framing is that it is a moderate-level field open to any background — on the condition that you have proper guidance and a good mentor.

What is an MIS Executive, and is it a data analyst job?

MIS work is management information reporting — maintaining data, building reports and tracking operational numbers. It uses the same Excel and SQL foundation as analytics and is a common entry point, but it is not the same as a data analyst title.

How long is the data analytics course?

Ravi describes a six-to-seven-month journey, having enrolled in June.

How did he find out about the course?

An Instagram post led him to a free workshop, and the workshop is what convinced him the programme would be useful.