Ruchi Bhatia

Junior Data Scientist - India

A Computer Engineering graduate and currently only the 6th Grandmaster in the Datasets tier on Kaggle, Ruchi started her Kaggle journey in the month of May this year and it has been one of her quickest feats.

Having started coding at an early age and also having completed her Bachelor’s, her interest in this field has only grown with time. She gravitates more towards Data Science and Data Analysis. Working in the technology sector of various MNCs like Sony and Colgate-Palmolive has given her relevant experience in the industry. As businesses today are becoming more inextricably linked with information technology, she strives to utilize her expertise to bridge the gap between technology and business.

Her key interest lies solely in sharing her technical expertise with people. She thoroughly enjoys tackling problems pertaining to technology and coming up with novel ideas. She also believes in Kata - the Japanese ideology of thinking before acting which enables her to be able to focus on not only continuous improvement, but also innovation.

Our intuition about the future is linear. But the reality of information technology is exponential, and that makes a profound difference. If I take 30 steps linearly, I get to 30. If I take 30 steps exponentially, I get to a billion.

Ray Kurzweil


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

    Heavy GPU intensive tasks take significantly less amount of time than the GPUs offered on Kaggle’s hosted notebooks.

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

    Exploring Computer Vision Kaggle competitions with the power of an indomitable beast.

  • How has access to powerful NVIDIA GPUs helped to push your work further?

    It dramatically reduces the time required for training and helps us to gain insights quicker by combining powerful Quadro RTX GPUs with the acceleration of RAPIDS. For making the switch to RAPIDS, simple code changes are required for end to end speed improvements in the data science life cycle. Since the entire training pipeline runs on GPUs, the projects run very smoothly enabling lightning fast iterations.

  • What’s your favorite Z feature?

    The amazing potential of RTX 6000, and the rich and immersive Z display allows me to have a better overall view of the data.

My current gear provided by Z and Nvidia
  • HP Z8

    When you work with complex simulations, data analysis or high-end VFX, only the best will do. Cut through your toughest jobs with our flagship Z - built for power-intensive workloads.

    Learn more

    Never has so much power been engineered into such a sleek package. Keep your best talent creating on the latest tech with the new benchmark for mobile workstations.

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  • HP Z38c

    Completely immerse yourself in the expansive elegance of the 37.5-inch diagonal curve.

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  • Preloaded Software Stack

    Save countless days installing, configuring and maintaining your data science environment by choosing the preloaded data science software stack.

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