Hi! I’m Arunn.
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 to achieve the same.
Besides, I write about building a profitable side-hustle. Who doesn’t want to make money on the side doing what they love?
My most-read articles:
I haven’t felt this accomplished in a while.
You can get promoted, make a lot of money writing online, and build a loyal audience as a top writer, yet, it doesn’t match up to the satisfaction of helping a data enthusiast unleash his true potential.
I helped supervise a young enthusiast who just completed his internship with us. He came in as a high-school student who is yet to start his university education, but with a lot of eagerness to learn. It felt a lot like me, back when I was amidst my first internship. …
Do you always feel it’s unfair almost all platforms pay five figures to their top creators while you still struggle to cross a two-digit pay-off? Do you feel like there’s some secret sauce these pro-creators are using which you’re not aware of? Finally, do you feel you’ve not yet “made it” to call yourself a creator?
If you nodded yes to any of them, you’re not alone. I was there too, and the majority are still stuck as amateur creators. Don’t get me wrong; I’m not here to judge anybody. …
I have built Computer Vision projects successfully in the past, and I’ll be honest, it’s not easy. No, I’m not saying the rest of the AI projects are easy because they’re equally challenging, but CV projects take it to a different level.
To give you a bit more context, I was a Machine Learning Engineer in an AI startup, and as much as I’ve had rewarding experiences with Computer Vision, I’ve had frustrating experiences too.
I’ve been on the receiving end of a client saying, “No.” The cost of deploying our solution was too high. After spending a lot of…
I can vividly remember creating my “MS in US” plan in my final year of university. GRE. TOEFL. Universities and their rankings. Statement of Purpose. Letter of recommendations from professors. Student loans.
When I started learning data science in 2017, I was made to believe I needed a Master’s degree despite finishing up a computer science undergraduate degree.
The standard plan was to either go for a software engineer role or do a Masters's abroad. Everyone I knew was doing one of these. I wanted to break into data science, so I made my mind to follow them too.
“What is your weakness?” the interviewer fired the age-old typical question.
“Statistics for data science”, I replied without thinking twice.
I can see their eyebrows raised with concern. They were not expecting this. “So what did you do about it?” they inquired, exactly the way I planned this to go.
I wasn’t going to go down that path unless I had a fitting response, duh.
“As you know, I come from a computer science background. I’m good with maths, programming and machine learning. That was enough for me to break into data science.” I paused.
Do you feel like, these days, every other student wants to break into data science?
Does it look like everybody on LinkedIn is doing the same Andrew Ng’s machine learning course?
Do you run out of hope that you’d be recruited as a data scientist amongst the sea of data science enthusiasts?
If you nodded your head, don’t worry. You’re not alone. My mentees, at some point, ask me the same question: “if everyone else follows your path and succeeds, then how do I stand out from the crowd?”
Look, I don’t gain anything by sugar-coating a lie and selling…
“How do you manage to write so much while having a challenging full-time job?”
I often laugh it off when I get asked the same question the 496789275th time. Do you want the answer?
You need to enjoy writing to become better at it slowly. You need to be willing to be patient when you don’t see results. You need to care about the reader. You need to practice in public. You need to be willing to dedicate time and effort to writing.
It’s a lie if I say everyone can do it. But most people can if they want…
I’m a private person. I’m a writer. People like me do exist.
Despite being a writer, I’ve kept my personal life aside. I write about data science, work-life, side-hustles, and my personal development journey. Basically, the intersection of something that I have personal experiences with and what I believe will add value to you, the reader.
One of the most asked questions to me is: “how did you manage to do all of this while working full-time?”
The more I think about it, the more I realize there’s no secret to it. It’s just that I absolutely love what I…
“In the beginner’s mind there are many possibilities, but in the expert’s there are few”― Shunryu Suzuki.
More often than not, being a beginner could be one’s strength. I love beginners — I was one of them, after all.
They have big dreams. They want to “make it” as a data scientist. They know many have made it in the past, and there’s nothing to stop them. They’re “blank slates” hungry for knowledge and to grow. They know it’s not going to be easy and are willing to put in the effort.