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Coding in my studio
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Coding in my studio
11 followers · 7 following

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Kee2u/README.md

Hi there!

My name is Keerthana but you can call me Keetu. I am a mechatronics engineer turned data engineer. I also have a small business as a professional artist and sell oil paintings. See my instagram here: https://www.instagram.com/artbykeetu/

I am currently working on deciphering the Indus Valley Script using Machine Learning and Natural Language Processing techniques! Check it out here! https://github.com/Kee2u/Deciphering_the_Indus_Valley_Script

My completed data projects involve:

  • Data cleaning and statistical analysis using Pandas, R and Pyspark
  • Databases such as SQLite, PostgresQL and MongoDB
  • Webscraping using APIs, chrome developer tools, beautiful soup and splinter
  • Web visualization using javascript leaflet and d3, bootstrap, HTML and CSS
  • Plotting tools such as Matplotlib and Pyplot
  • Business intelligence tools such as Tableau
  • Cloud servers such as AWS RDS and S3
  • Data Manipulation using Excel and VBA
  • Supervised and Unsupervised machine learning using Scikit-Learn, Tensorflow and Keras

Email me here:

keetu.jk@gmail.com

Connect with me on LinkedIn:

https://www.linkedin.com/in/keerthanajayakumar/

Pinned

  1. PyBer_Analysis PyBer_Analysis Public

    Using Python, Jupyter Notebooks and MatPlotLib to perform exploratory data analysis on ride sharing data from CSV files and to create graphs and charts to gain data driven insights.

    Jupyter Notebook

  2. World_Weather_Analysis World_Weather_Analysis Public

    Create an app using Google maps and Open Weather Map APIS. Can be used to recommend hotels based on traveller's weather preferences.

    Jupyter Notebook

  3. Movies-ETL Movies-ETL Public

    Scraped movie data from Wikipedia, Kaggle and MovieLens. Created a data pipeline to clean the data using ETL and Pandas with Jupyter Notebooks. Uploaded the cleaned data to SQL tables for further a…

    Jupyter Notebook

  4. Pewlett-Hackard-Analysis Pewlett-Hackard-Analysis Public

    Using PostgreSQL and PGAdmin4 to determine the impact of retiring employees on a fictional company.

  5. Mission-to-Mars Mission-to-Mars Public

    Collected information on Mars from four websites using web scraping. Used chrome developer tools to read HTML, Beautiful Soup and Splinter to automate the scrape, Mongo to store the data and Flask …

    Jupyter Notebook

  6. Deciphering_the_Indus_Valley_Script Deciphering_the_Indus_Valley_Script Public

    Deciphering the Indus script using pandas, PostgreSQL on an AWS RDS instance, Machine Learning and Statistical Analysis. Results visualized using Tableau and Javascript.

    Jupyter Notebook 11 5