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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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@CodeRoyale @JobRoyale

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sanithps98/README.md

Hey there! I'm Sanith PS 👋

Data Engineer at Tata Consultancy Services with an experience of 2.5+ years, seeking challenging opportunities to apply my skills and knowledge for the mutual growth and benefit of the organisation


📫 Contact Me

     

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  1. Formula-One-Racing-Analytics Formula-One-Racing-Analytics Public

    This project aims to provide a data analysis solution for Formula-1 race results using Azure Databricks.

    Python

  2. Tokyo-Olympics-Data-Analytics Tokyo-Olympics-Data-Analytics Public

    This project analyses and visualises the 2020 Tokyo Olympics data. It demonstrates how to build an end-to-end data engineering pipeline on the Azure cloud platform by integrating Azure Databricks, …

    Jupyter Notebook

  3. Automobile-Dataset-Analysis Automobile-Dataset-Analysis Public

    This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

    Jupyter Notebook 43 36

  4. HR-Analytics-and-Employee-Attrition-Prediction HR-Analytics-and-Employee-Attrition-Prediction Public

    This project basically involves Human Resource Analysis and Employee Attrition Prediction using various data visualisation techniques & machine learning models

    Jupyter Notebook 9 3

  5. Activity-Context-Recognition Activity-Context-Recognition Public

    The objective of this project is to develop an activity recognition model for the fitness system, utilising the activity context tracking dataset to analyse, design, implement, and evaluate the model.

    Jupyter Notebook

  6. Heart-Disease-Prediction Heart-Disease-Prediction Public

    This project analyzes and visualizes the dataset of clinical records of heart failure patients from the UCI Machine Learning Repository. The objective is to categorize or forecast whether a patient…

    Jupyter Notebook