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Bhavesh Bhatt

I currently work as a AVP of Data Science (Generative AI), where I find immense joy in problem-solving. The ongoing research in the Generative AI domain fascinates me deeply & I try my level best to keep up with the advances.

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In my journey so far,

  • In October 2019, I attained the prestigious title of a Google Developer Expert (GDE) in Machine Learning, marking a significant milestone in my professional journey and adding a noteworthy honor to my accomplishments.
  • The recognition as a recipient of the 40 Under 40 Data Scientist award by Analytics India Magazine in January 2020 stands as a significant achievement in my career.
  • In July 2021, I proudly received the GitHub Star ⭐ recognition, securing the 69th position globally among approximately 65 million developers. The acknowledgment of my open-source contributions is both rewarding and humbling, and I am grateful for the support of over 2300+ followers on GitHub.
  • I am truly humbled to be a member of the Google Cloud Innovator Program, having joined in December 2021.
  • In February 2023, I attained the status of a Neo4j Ninja 🥷 & by April of the same year, I had the honor of receiving the Community Excellence award at Graphsummit 2023, Neo4j's prestigious event.
  • The privilege of being selected as a Gartner Ambassador for Data & Analytics in October 2023 is a source of deep honor and reinforces my commitment to the field.
  • The experience of developing a product that secured the esteemed Best AI/ML Product of the Year award at Cypher 2022, along with receiving recognition for my Generative AI project at Cypher 2023 has been genuinely humbling.
  • Attending the inaugural Indian National Creators Award in March 2024 was undeniably a remarkable privilege.

In order to give back to the community from which I learnt so much I started creating videos on YouTube & currently I have 2 YouTube channels with close to 400+ videos with 5+ Million views & 105k+ subscribers.

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Bhavesh Bhatt's Projects

apple-gpu-vs-nvidia-gpu-benchmarking icon apple-gpu-vs-nvidia-gpu-benchmarking

In this repository, we will do a benchmarking analysis by training a Tensorflow Deep Learning model on M2 MacBook Air and compare the training time with NVIDIA's Tesla T4 GPU on Google Colab.

auto-sklearn-tutorial icon auto-sklearn-tutorial

Small tutorial on auto-sklearn which is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

auto-ts-tutorial icon auto-ts-tutorial

Tutorial on Auto_TS : Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code

autokeras-classification icon autokeras-classification

AutoKeras is an open-source library for performing AutoML for deep learning models based on Keras.In this video, I'll show you how you can use AutoKeras for Classification.

autokeras-regression icon autokeras-regression

AutoKeras is an open-source library for performing AutoML for deep learning models based on Keras.In this video, I'll show you how you can use AutoKeras for Regression.

batch-normalization-demo icon batch-normalization-demo

In this tutorial, I'll show how Batch normalization can be used for improving the speed, performance, and stability for Neural Networks.

chatgpt-chatbot icon chatgpt-chatbot

This repository will guide you to create ChatGPT like chatbot using OpenAI's GPT 3.5 model

csv_from_web_graph icon csv_from_web_graph

The repository describes how you can extract csv from a dynamic graph hosted on a website

cudf-rapids-demo icon cudf-rapids-demo

A simple demo of cuDF which is a RAPIDS GPU-Accelerated Dataframe Library!

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