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

• 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.

• 🌟 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.

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.