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Jagannath771/README.md

Jagannath Sai Kasarabada

Data Engineer and AI Enthusiast

📍 Sunrise, FL 📧 jagannathsai771@gmail.com 📱 +1 (754) 276-5271

👋 About Me I am dedicated to advancing machine learning and AI technologies with a robust blend of technical expertise, innovative problem-solving, and ethical AI implementation. With a proven track record of architecting data pipelines and developing machine learning models, I specialize in driving data-driven decision-making and enhancing operational efficiencies.

🛠️ Areas of Expertise

Machine Learning: Deep Learning, Predictive Analytics, Feature Engineering, NLP, GANs, Transformers, MLOps

Big Data & Cloud: AWS, Azure (Databricks), GCP, Hadoop, Spark, Kubernetes, Docker

Programming & Tools: Python (Pandas, TensorFlow, PyTorch, etc.), SQL, SAS, Flask, FastAPI

Data Visualization: Power BI, Tableau, QlikView

Development Frameworks: CI/CD, Git, Jupyter Notebook

AI Ethics & Data Compliance

📚 Education

Master’s in Artificial Intelligence – University of Cincinnati (CGPA: 4.0/4.0)

Bachelor’s in Computer Science and Engineering – Vellore Institute of Technology (CGPA: 9.0/10)

🎯 Certifications

Generative AI Specialization – Purdue University

Artificial Intelligence Engineer – IBM

Microsoft Azure Data Fundamentals – Microsoft

🏆 Projects

CrediVerify Automated fact-checking for health-related YouTube videos using Google AI and OpenAI GPT. Enhanced claim validation accuracy by 30%.

Pet Classification Developed a TensorFlow CNN model achieving 92% accuracy for pet breed identification.

HR Policy Assistant Streamlined HR query handling with OpenAI GPT and LangChain, cutting manual tasks by 30 hours/month.

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  1. Chicken-Disease-Classification-Project Chicken-Disease-Classification-Project Public

    CSS 1

  2. Customer-Churn-Prediction Customer-Churn-Prediction Public

    Jupyter Notebook

  3. MNIST-classification-using-MLP MNIST-classification-using-MLP Public

    The Multiple feed forward algorithm is used for classifiying digits(0-9) in the MNIST dataset. The MNIST dataset comprises of handwritten digits which we need to predict and tell its real number. T…

    Jupyter Notebook

  4. NestleHRAssistant NestleHRAssistant Public

    Python

  5. Temperature-prediction-using-deep-learning Temperature-prediction-using-deep-learning Public

    Testing various models for achieving good loss and accuracy on a 3 dimensional dataset. Deep learning algorithms like MLP, CNN, Conv Autoencoder, and RNN were used.

    Jupyter Notebook

  6. Youtube_Summarizer Youtube_Summarizer Public

    Jupyter Notebook 1