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sharadpatell/README.md

πŸ‘‹ Hello, I'm Sharad Patel

I'm a Software Developer based in Hyderabad. My journey in the world of technology has been marked by a profound interest and commitment to the fields of Machine Learning, Data Science, and Artificial Intelligence (AI). My journey in technology is not just a professional pursuit; it's a personal exploration of the limitless possibilities that emerging technologies offer. Beyond coding, I am a relentless learner, always seeking to expand my knowledge and skill set. Whether it's exploring the latest advancements in AI or diving into new programming languages, I thrive on the excitement of continuous growth and innovation.

πŸ’‘ Why I'm Excited About ML, Data Science, and AI

My enthusiasm for Machine Learning, Data Science, and AI goes beyond professional aspirations; it's a driving force that fuels my curiosity and desire to contribute to cutting-edge technologies. Here's why:

  • Problem Solving: I see Machine Learning as a powerful tool for solving complex problems. The ability to train models and extract meaningful insights from data inspires me to approach challenges with innovative solutions.

  • Data-driven Decision Making: In a data-driven world, the potential to harness information for informed decision-making is limitless. I am motivated by the prospect of creating solutions that transform raw data into actionable intelligence.

  • Innovation: AI, with its continuous advancements, presents opportunities for groundbreaking innovations. Being part of this transformative journey excites me, pushing me to stay abreast of the latest developments in the field.

🌐 Education and Experience

  • πŸŽ“ BSc in Computer Science
  • πŸš€ Recently completed an data science course

πŸ’» Skills

  • Programming Languages: Python, PHP
  • Databases: MySQL, PgSQL
  • Data Science: Machine Learning, Data Preprocessing, Data Visualization, NLP
  • Libraries/Frameworks:
    • NumPy
    • Pandas
    • Matplotlib
    • scikit-learn
    • TensorFlow (for using BERT)
  • Tools:
    • Power BI
    • Excel

πŸš€ Projects

  • Breast Cancer Detection using Streamlit: Developed a web-based tool leveraging logistic regression for breast cancer detection.
  • Text Classification using LSTM: Applied deep learning techniques for text classification.
  • Keyword Extraction API using NLP and Flask: Implemented a Flask-based API for top keyword extraction from text data.

πŸ“¬ Contact Me

Feel free to reach out:

Pinned

  1. Amazon_grocery_analysis Amazon_grocery_analysis Public

    πŸ“Š Dive into Amazon Grocery Data: Explore the dataset's features and structure. πŸ› οΈ Data Preprocessing: Learn how to prepare data for analysis. πŸ“ˆ Predictive Modeling: Build and fine-tune ML models fo…

    Jupyter Notebook 3

  2. Heart_attack_prediction Heart_attack_prediction Public

    Machine learning-based heart attack prediction

    Jupyter Notebook 1

  3. Text_classification_using_LSTM Text_classification_using_LSTM Public

    Text Classification is a process involved in Sentiment Analysis

    Jupyter Notebook