Ramsri Goutham Golla
Lead Data Scientist, Entrepreneur, Writer
Hyderabad, Telangana, India
Q1. Please share your educational and professional journey?
After finishing my schooling in Wanaparthy, a town in Telangana I moved to Hyderabad for Class 11 and 12th. Secured a seat in BITS Goa and finished engineering with an Electrical Engineering background. Immediately moved to the US and finished Masters at Arizona State University with a focus on Computer Vision and Signal Processing. Later worked in the silicon valley for 6 years at a startup and a medical robotics company as a computer vision software engineer. Then moved back to India in 2018 to pursue my entrepreneurship dreams.
Started a funded AI startup in the edtech space, based out of Singapore. After running successfully for a year we decide to shut it down due to cofounder differences. Since then I moved back to India (Hyderabad) and currently running several open-source AI initiatives and consulting fulltime as a Lead Data Scientist.
Q2. What did attract you towards Data Science Domain?
My first experience with data science or something close to it was doing some computer vision-based bot for a college technical festival in undergrad. From there on I started learning computer vision, natural language processing, and machine learning. After finishing my Masters, I got more fascinated with deep learning and its use cases. I pursued a career in it and eventually moved into entrepreneurship building products powered by state-of-the-art deep learning techniques.
Q3. How do you handle stress in this fast and competitive life?
Quite the contrary, I avoided stress by not competing actually. Because of my entrepreneurship background, building unique projects in data science was relatively easy since I could foresee how AI could be used in various new applications. So I never had to compete on Kaggle or look for projects to do as I always had ideas that I could implement.
I read on Medium actively to keep up with the latest advancements and I actively do meditation and treadmill walk to maintain a work-life balance.
Q4. Where does NLP require in Data Science Projects?
NLP is on the rise in data science with the advent of new transformer-based models. Also, GPT3 created quite a buzz in the AI space. A lot of data in an organization is text-based so finding insights and drawing business value is essential. So NLP is becoming increasingly more important in data science.
Q5. Where do you want to see yourself after 10 years in career?
I am very excited to map cutting edge research to practical real-world use. In 10 years down the line, I would ideally want to be running a cutting edge AI startup.
Q6. Tell us about one of the moments which changed your perspective towards life?
The cross-disciplinary study is what changed my perspective. I could imagine and execute unexplored use cases of AI in various fields.
Q7. Which one thing do you want to change in Data Science Domain and why?
It is important to focus on practical projects and develop a unique project portfolio. More open-source work that advances the research is necessary.
Q8. Which one skill do you like most about yourself?
Constant learning on Moocs like Udacity, Udemy, and Coursera is what I like the most. Fortunately, I have been able to finish all the courses that I aimed to finish and stay motivated so far.
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