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HARSHITH21/README.md

Hi there, I'm Harshith Gade πŸ‘‹

I’m a Data Scientist with a passion for solving real-world problems using data-driven solutions. I’m currently pursuing my Master's in Data Science at NJIT and have experience working in machine learning and Data Visualisation.

  • 🌱 I’m currently enhancing my skills in Machine Learning, Deep Learning, Data Visualisation, Cloud Computing and Artificial Intelligence.
  • πŸ‘― I’m looking to collaborate on projects related to Data Science and Machine Learning
  • πŸ“« How to reach me: [email protected] | LinkedIn

πŸ”§ Technical Skills

  • Languages: Python, C, R, SQL, Java, HTML, CSS
  • Tools: Microsoft Excel, Scikit-learn, TensorFlow, Pytorch, Seaborn
  • Frameworks & Models: Spring Boot, Linear Regression, Decision Trees, Random Forest, Apache Spark, Hadoop, NumPy, Pandas

πŸ“‚ Featured Projects

Here are some of the projects I've worked on:

  1. Netflix Recommendation System using BERT

    • Built a recommendation system combining BERT and MLP for highly personalized movie and series recommendations.
    • Enhanced content discovery by using BERT for content analysis and MLP for preference learning.
    • Technologies Used: Python, TensorFlow, BERT, MLP, Pandas, Scikit-learn
  2. Quality Prediction in Mining Process

    • Developed machine learning models to predict impurities in iron ore, focusing on the flotation process to improve predictive accuracy.
    • Conducted data preprocessing, model selection, and hyperparameter optimization for reliable predictions.
    • Technologies Used: Python, Scikit-learn, Pandas, NumPy, Seaborn
  3. Web Scraping with R

    • Automated data extraction from websites using R and its web scraping libraries.
    • Cleaned and processed the data for further analysis, with visualizations created using ggplot2.
    • Technologies Used: R, rvest, ggplot2, dplyr
  4. Flight Data Analysis

    Analyzed flight data with Apache Hadoop and Oozie workflows to derive insights on:

    • On-Time Performance: Ranked airlines based on delays.
    • Taxi Times: Evaluated airport efficiency in ground operations.
    • Cancellations: Identified common causes of flight cancellations.

    This project delivers actionable insights to enhance airline and airport operational efficiency.


πŸ“œ Education

  • Master's in Data Science - NJIT, Ying Wu College of Computing (Sep 2023 - Present)
  • Bachelor of Technology - Geethanjali College of Engineering and Technology (Aug 2018 - Jul 2022)

Feel free to explore my repositories or connect with me on LinkedIn!

Popular repositories Loading

  1. Web-Development Web-Development Public

    Forked from Internshala-Online-Trainings/Web-Development

    HTML

  2. java-tutorial-for-beginners java-tutorial-for-beginners Public

    Forked from in28minutes/java-tutorial-for-beginners

    Java Tutorial For Beginners with 500 Code Examples

  3. Quality-prediction-in-mining-process Quality-prediction-in-mining-process Public

    Jupyter Notebook

  4. Netflix-Recommendation-System-using-BERT. Netflix-Recommendation-System-using-BERT. Public

    Jupyter Notebook 1

  5. webscraping-with-R webscraping-with-R Public

    Web scraping with R presents a powerful approach to extract and analyze valuable information from online sources. In this project, we leverage R programming alongside key libraries such as rvest, h…

    R

  6. Flight-Data-Analysis Flight-Data-Analysis Public