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ayushgagarwal/README.md

Hey, I am Ayush! 👋

  • I'm currently working as a Data Analyst at JPMorgan Chase & Co.
  • I have a Masters of Science in Analytics 👨‍🎓 from the Georgia Institute of Technology.
  • I was a Graduate Teaching Assistant for the course - Computing for Data Analysis that deals with Data Science using Python.

My passion for Data Science began during my undergrad Computer Science degree, when I took subjects like Database Management Systems, Data Structures and Data Warehouse & Mining. My curiosity in these areas naturally led me to Data Science. On finding out the extensive use of Math, Statistics and the impact this was creating, I knew it was the perfect fit for me.

My skills include...

  • Programming/Frameworks: Python, R, SQL, Scala, PySpark, Databricks
  • Data Visualization: Tableau, Google Data Studio, D3.js, gglplot, PowerBI
  • Analytical Techniques: Machine Learning, Regression Analysis, Classification, Clustering, Random Forests, Time Series
  • Cloud: AWS (cloud practitioner certification), Google Cloud Platform, Microsoft Azure

I hope my repositories help you out in your learning journey as well 😄

If you want to have a chat, please don't hesitate to reach out to me on LinkedIn or email me at ayushgagarwal@gmail.com

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  1. AQI-prediction AQI-prediction Public

    Predicting the Air Quality Index of 100+ counties across the USA

    CSS

  2. Purchase-prediction Purchase-prediction Public

    Using advertisement campaigns data to predict click through rate and total conversions

  3. pandemic-flu-spread pandemic-flu-spread Public

    Modeling of pandemic spread in a classroom with 1 infected kid

  4. Web-Crawler Web-Crawler Public

    Provided direct links to apply for jobs based on skillset and preferred location of the seeker

    Python

  5. Data-Cleaning Data-Cleaning Public

    A number of data sets that have been cleaned by me using Python

    Jupyter Notebook 2 4

  6. Notes Notes Public

    Cheatsheets and Notes I have made for different programming languages and concepts

    HTML