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pradeeshreddy03/README.md

Hi there ๐Ÿ‘‹

About Me

Hello! I'm a passionate and enthusiastic fresher in the field of data science, data analysis, and machine learning. With a strong foundation in various tools and technologies, I am eager to apply my skills and contribute to innovative projects.

Skills & Tools

  • Programming Languages: Python
  • Data Analysis & Visualization: MySQL, Tableau, Power BI, Excel
  • Data Science Libraries: NumPy, Pandas, Matplotlib
  • Machine Learning & Deep Learning: Keras, TensorFlow

Experience

I have hands-on experience working with diverse datasets and deriving insights using powerful tools. My expertise in data visualization helps in creating compelling stories from raw data, and my machine learning skills enable me to build predictive models that solve real-world problems.

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  1. E-Commerce-Analysis E-Commerce-Analysis Public

    This project involves analyzing e-commerce data using SQL, Excel, and Power BI to derive insights and visualize key metrics. The main objectives are to identify trends, track sales performance, andโ€ฆ

  2. Netflix-Dashboard Netflix-Dashboard Public

    This project utilizes Power BI to create a dashboard for analyzing a Netflix dataset. It visualizes trends in show additions, ratings, genres, and geographical distribution, offering insights into โ€ฆ

  3. EV-Analysis EV-Analysis Public

    The EV Analysis Dashboard is an interactive Tableau visualization designed to explore and analyze electric vehicle (EV) data. It showcases key metrics such as vehicle distribution, ownership trendsโ€ฆ

  4. Bike-Sales-Analysis Bike-Sales-Analysis Public

    This project involves creating an interactive Tableau dashboard to analyze bike sales data. The dashboard includes various visualizations such as bar charts, bubble charts, maps, and line charts toโ€ฆ

  5. Retinal-Disorder-Prediction-Using-Deep-Learning- Retinal-Disorder-Prediction-Using-Deep-Learning- Public

    This project utilizes VGG19, Xception, and a custom CNN to classify retinal diseases from OCT images. The custom CNN achieved 95.47% accuracy, demonstrating AI's potential in improving diagnostic โ€ฆ

    Jupyter Notebook