@github star | @google developer expert for ML | @neo4j ninja | 40 under 40 Data Scientist | bit.ly/bhaveshbhatt | bit.ly/pythontricks
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Assessing your cultural and operational fit
pdf-q-a-llamaindex-llama2
October 31, 2023 – November 4, 2023
Chat with your PDF files using LlamaIndex, Astra DB (Apache Cassandra), and Gradient's open-source models, including LLama2 and Streamlit, all designed for seamless interaction with PDF files.
View Projectchatgpt-chatbot
December 14, 2022 – December 20, 2022
This repository will guide you to create ChatGPT like chatbot using OpenAI's GPT 3.5 model
View Projectdiffusion-chatgpt
December 8, 2022 – December 8, 2022
This repository will guide you to create your Images via Stable Diffusion using a Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. The entire solution is created using Python & Gradio.
View Projectvoice-assistant-whisper-chatgpt
December 7, 2022 – March 2, 2023
This repository will guide you to create your own Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. The entire solution is created using Python & Gradio.
View Projectfreecodecamp-tflite
September 14, 2021 – October 19, 2021
Introductory tutorial on converting a TensorFlow model to TFLite model
View Projecttwitter-scrapper-snscrape
July 6, 2021 – September 15, 2021
Tutorial to scrape tweets from Twitter using snscrape
View Projectcowin-vaccination-slot-availability
April 30, 2021 – October 4, 2023
Script to check the available slots for Covid-19 Vaccination Centers from CoWIN API in India.
View Projecttable-detection-streamlit-application
March 26, 2021 – October 12, 2021
Google Colab Demo of CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
View Projecttflite-tutorials
September 1, 2020 – May 29, 2021
End-to-end tutorials on how to create TensorFlow Lite (TFLite) models!
View Projectimbalance_class_sklearn
April 19, 2019 – May 29, 2021
Address imbalance classes in machine learning projects.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in the AI/ML domain. The projects are diverse within the data science field, covering areas like NLP, computer vision, and general ML. However, the lack of team-based or professional projects makes it difficult to assess collaboration or broader cultural fit within an organizational setting. The focus on personal, tutorial-driven projects suggests a learning-oriented individual, which can be a good cultural fit for teams that value continuous skill development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a self-starter attitude and an interest in exploring new technologies, which could be beneficial for operational roles requiring continuous learning.