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Senior Data Scientist, Mentor & Writer. I share experiences from my data science and personal development journey — friends.arunnthevapalan.com

Welcome to my profile

As a Senior Data Scientist and a Mentor, I help data enthusiasts break into and grow in the world of data science. I share learnings, my approach, and everything about my journey to become a successful data scientist, hoping to inspire you achieve the same.

Besides, I’m embarking on a personal development journey. Who doesn’t want to become their better self?

You can reach out to me on LinkedIn and join my private list of email friends to keep in touch and never miss an update.

My most-read articles:


Learn and apply these gems at your earliest

Career lessons FTW! (Photo by Brooke Cagle on Unsplash)

Aspiring data scientists often ask me how I became a Senior Data Scientist while so young and how they can do the same.

The most reliable way to accelerate your career is to learn from those ahead of you. And then apply those learnings in your career.

I’m constantly looking to learn something new every day. I’m not ashamed to admit that I don’t know a lot of things already. Instead, I’m curious to borrow the brains of those experts through their experiences, learnings, and mistakes.

Certain lessons are better learned early in everyone’s career, but things don’t always go…


A sneak peek into the hiring manager’s mind

You can’t read her mind, can you? (Photo by Dollar Gill on Unsplash)

Have you ever stared at job postings, worrying you don’t have the skills yet?

Have you ever wished to get into the minds of a hiring manager?

Have you ever applied to multiple jobs only to never hear back from any?

I have. I have. Of course, I have.

I know you said yes to at least one of the questions, if not all three. At different points of my journey, I had the same questions too. When I felt I had learned enough data science and built a portfolio, I started applying for jobs online. …


Writing this feels like career suicide

I’m not sure why I’m writing this. (Photo by Ivan Aleksic on Unsplash)

“You have been talking a lot about your learnings and successes; why not spill some of your mistakes and regrets too?”

That was my sister after I had lost a bet yesterday.

Now she’s forcing me into writing this article. I know what you’re thinking — she has a fair point, but maybe I’m not comfortable (yet) with the world seeing my mistakes.

Writing this feels like career suicide.

Will you follow my work even after this? I don’t know. Maybe that’s why I don’t see many experts talk about their early career mistakes. …


The only question that remains: will you do this consistently for long enough?

Photo by Quang Anh Ha Nguyen from Pexels

So you want to achieve things you desire and eventually lead a happier life?

You read self-help and experiment in different dimensions of your life. You get your hands on the bestselling books, TedX, webinars, and they all tell you to do the same thing.

Aren’t you sick of learning the same thing again and again, only to fail at what you desire to achieve?

Like you, I, too, was reading, educating, and experimenting on my personal development journey. Then it all clicked to me. Damn! …


You can’t go wrong with this

This guide works. (Photo by DocuSign on Unsplash)

I’ve summarized my experience working on 25+ projects over a span of 4 years into this single guide.

We all get cool ideas for projects. Some of them are not feasible, but some of them are. Yet, we don’t implement them. We want to do it, but we don’t know where to start.

What’s worse is, months later, we see someone on LinkedIn sharing a cool demo of a simple idea turned in to project.

Would it be helpful if someone helped you turn your idea into a reality? If you had a clear step-by-step framework to execute, would it…


Data Science, Careers

Surprising ways you’ll benefit when you keep giving unconditionally

Photo by Max Fischer from Pexels

Beyond my 9–5 job as Senior Data Scientist, I mentor students and enthusiasts to break into and grow in the world of data science. This has been one of the most meaningful works I’ve done in the past year.

If you measured success using the dollars I earned, it’s nothing, but the impact on my mentees would tell a different story.

You don’t need to have a PhD or be a professor to mentor someone; you need to have what they’re looking for. It could be an internship, a job or academic expertise. …


My tops tips to be a happier employee

Photo by Prateek Katyal from Pexels

You see people sharing Monday Motivation quotes, but the last thing you can relate Monday to is to feel motivated. Don’t we all dread Mondays?

The alarm goes off in the morning, and you wake up to realize it’s another long week ahead. You have to grind through five whole days again before you’re allowed to have a brief moment of peace. Somehow the weekend passes off in a fly. And the cycle repeats.

It’s not just you; it’s the case for many of us. We are all in this mess together. I understand we can’t miraculously love Mondays, but…


Here’s what you can do about it

Photo by C Technical from Pexels

Do you remember the details of the data science project you worked on a couple of years back? I certainly don’t. Thankfully I wrote some pointers for my CV back then; otherwise, I’d have no clue.

The most recent project you’re working on, how about that? The codes, visualization plots are all vividly painted in your memory. But wouldn’t you forget them all too soon as well?

Science says; that every time we try to recall a memory, it’s less accurate than before. It’s natural to be confident in ourselves, but the truth is we can’t remember them all. …


Data Science, Machine Learning

Mandatory concepts every data scientist should know before it’s too late.

Photo by Alex Knight from Pexels

I always believed model development is the hardest part. Data cleaning — the most time-consuming. Isn’t that we all were taught? Recently I learned something else is even more important.

The performance of the model was great. It’s foolproof; we checked it multiple times. So when we deployed our prediction system and automated the pipeline, we thought we were good.

Oh, how wrong we were.

We had no idea what was waiting for us. The results were good for a few months. Then it happened. Nothing’s changed from our end, but the predictions didn’t make any sense anymore. …

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