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Achievement: Pull Shark

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Achievement: Pull Shark

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KrishBakshi/README.md

💫 About Me:

👋 Hi, I'm Krish Bakshi
📍Data Scientist | Deep Learning Enthusiast | Generative AI Innovator

🔭 What I Do:

  • Design and deploy data pipelines with tools like Azure Databricks, PySpark, and BigQuery.
  • Build predictive models (XGBoost, ARIMA, SARIMA) and Generative AI applications using Hugging Face Transformers and Diffusers.
  • Develop user-friendly interfaces using Gradio and Flask.

🎨 Projects I’m Proud Of:

  • 🌟 Sales Forecasting: Achieved 90% accuracy and 10% MAPE using XGBoost & PySpark, with CUDA-optimized training in 7 seconds.
  • 🏠 Rent Prediction App: An ANN-powered Flask app predicting rent prices with 85% accuracy.
  • ❤️ Cardiovascular Risk Prediction: Achieved 88% accuracy and 92% precision with ML-based predictions.
  • ✨ Hugging Face Diffusers Models: Worked on fine-tuning Stable Diffusion for custom image generation tasks.

🌱 Skills & Technologies:

Languages: Python, SQL, C/C++
Libraries/Frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-Learn, PySpark
Tools: Databricks, MLflow, Git, Stable Diffusion, Generative AI
📚 Currently completing a Bachelor’s in Computer Engineering at Savitribai Phule Pune University.

🌐 Socials:

LinkedIn Email

💻 Tech Stack:

C C++ HTML5 Python Google Cloud Anaconda Apache Spark Apache Hadoop nVIDIA OpenCV Streamlit MySQL Postgres Keras Matplotlib mlflow NumPy Pandas PyTorch scikit-learn TensorFlow Hugging Face Git GitHub Docker Notion

Popular repositories Loading

  1. Cardiovascular-Disease-prediction-using-ML Cardiovascular-Disease-prediction-using-ML Public

    This projects aims to predict the possibility of Cardiovascular Disease using Cardiovascular Disease dataset

    Jupyter Notebook

  2. Rent-price-prediction-using-ANN. Rent-price-prediction-using-ANN. Public

    An ANN (Artificial Neural Network) model is developed to predict property prices respective to location and other spatial features.

    Jupyter Notebook

  3. Potato-Disease-Classification-Using-CNN Potato-Disease-Classification-Using-CNN Public

    A deep learning project utilizing Convolutional Neural Networks (CNN) to identify and classify various potato diseases from leaf images. : This project employs Convolutional Neural Networks (CNN) t…

    Jupyter Notebook

  4. Time-series-sales-forcating-using-XgBoost Time-series-sales-forcating-using-XgBoost Public

    Time series analysis and forcasting using Pyspark and Gradient boosting algorithms. The dataset consists prooducts and their corresponding information on its sales with respect to different stores,…

    Jupyter Notebook

  5. sktime sktime Public

    Forked from sktime/sktime

    A unified framework for machine learning with time series

    Python

  6. KrishBakshi KrishBakshi Public