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pratik3336/README.md

Coding

Welcome to My GitHub Portfolio!

Hello! I'm an enthusiast in the fields of Data Analysis and Data Engineering with a deep passion for transforming raw data into meaningful insights.

💼 Past: Research Assistant @ Northeastern | Data Analyst Intern @ Ideal Transport and EDUrain | SWE Intern @ IIT Bombay

What I'm up to:

  • 🔭 Exploring Opportunities: I'm on the lookout for Full-time positions that challenge me and allow me to grow. If you're hiring or know someone who is, let's connect!
  • 👯 Collaboration: I'm eager to collaborate on projects related to Business Intelligence, Data Analysis, Data Engineering, Data Warehousing, and Data Science. If you're working on something exciting in these areas, I'd love to hear about it.

Let's Connect!

If you have any questions or want to discuss potential opportunities or collaborations, please feel free to reach out. Together, we can discover how data can unlock new insights and solutions.

Tools:

android css3 html5 java javascript mongodb mysql nodejs oracle php postgresql python react aws

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pratik3336

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  1. ChicagoDallas-FoodInspection-DataEngineeringProject ChicagoDallas-FoodInspection-DataEngineeringProject Public

    Software's to use: ER Studio/Navicat, Talend, Alteryx, Python, SQL Server (Azure/Local), MySQL, Power BI , Tableau

    1

  2. Identifying-and-evaluating-survey-based-questions-that-best-predict-an-IMDB-rating-for-a-movie Identifying-and-evaluating-survey-based-questions-that-best-predict-an-IMDB-rating-for-a-movie Public

    Analyzing the survey questions to determine which are most predictive of a movie's IMDB rating, critic meta-score, or gross USA ticket sales.

    Jupyter Notebook 1

  3. Kansas-CallCentre-DataEngineeringProject Kansas-CallCentre-DataEngineeringProject Public

    This project reflects the focus on analyzing urban data (Kansas City's 311 service requests) to understand the dynamics of city life using ETL operations and visualizations on PowerBI and Tableau

    1

  4. Large-Language-Model-s-using-Generative-AI-for-Dialogue-Summarizations- Large-Language-Model-s-using-Generative-AI-for-Dialogue-Summarizations- Public

    Using Medical Counsel Chat Data for Dialogue Summarization Using LLM's

    Jupyter Notebook 1

  5. IMDB_DataEngineering_and_BusinessIntelligence_Project IMDB_DataEngineering_and_BusinessIntelligence_Project Public

    The aim of the project is to analyse the movies data from multiple sources such as IMDB MoviesLens, The Numbers and BoxOffice Mojo.com based on movies/cast/box office revenues, movie brands and fra…

    1

  6. Heart-Failure-Prediction-using-ECG- Heart-Failure-Prediction-using-ECG- Public

    Using Logistic Regression, Random Forest and XgBoost to predict heart failure

    Jupyter Notebook 1