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Paras Varshney

Data Scientist

India

Follow on

LinkedIn

Medium

Github

Kaggle

Favorite apps

Scikit-Learn, PyTorch, NLTK, H2O.ai

Hardware & Software

Areas of specialty

Classical ML, Natural Language Understanding

Paras is a data scientist at the Indian Institute of Science in Bengaluru where he works on data analytics and R&D behind an open-source data exchange platform for smart cities. In 2020, he completed his Bachelor’s degree in Computer Science from the Indian Institute of Information Technology.

 

Recognized within the top 1% of Kaggle worldwide, Paras likes to share his passion for data science by helping junior coders develop programming skills through an online classroom. He also loves writing, and his works can be found published in top digital publications such as Towards Data Science.

 

Outside the data science world, Paras loves playing guitar and drums, and he also enjoys speed cubing.

 

As a Z by HP Global Data Science Ambassador, Paras's content is sponsored and he was provided with HP products.

“If you want to shine like a sun, first burn like a sun.”

A.P.J. Abdul Kalam

Scientist and Politician

What can you now do on a Z that you couldn’t do before?

I will use the power of Z to train huge models and participate in more competitions. I look forward to trying things out that weren’t possible on my previous devices.

What is the next thing you want to learn or experiment with on your Z?

I always wanted to explore, understand, and develop natural language-based semantics solutions using deep nets. And next in my pipeline is to process huge data and train heavy models on my gear by using state-of-the-art machine learning and deep learning algorithms.

What’s your favorite Z feature?

I still find it exciting to see how Z packs enormous power in a tiny box.

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