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  • manivannan.ramya@gmail.com
  • Plano, Texas
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ramyasnl/README.md

Hi there, I'm RAMYA 👋

I'm a Wife, MOM, Developer, and Teacher!!!

Completed Bootcamp in Data Analytics Certified by The University Of California Berkeley!!
🌱 Currently I’m learning everything & Always happy to learn 🤣
👯 I’m looking to collaborate with other content creators
🥅 2021 Goals: Contribute more to Open Source projects,To be a Data Analytics Professional
⚡ Fun fact: I love biking,cooking,teaching and listening to music

Connect with me:

Gmail  | Twitter https://www.linkedin.com/in/ramya-saravanan-94aa9177/ | LinkedIn  | Facebook

Languages and Tools:

Visual Studio Code HTML5 CSS3 JavaScript MongoDB Git GitHub GitHub GitHub GitHub

GitHub GitHub GitHub GitHub GitHub GitHub GitHub GitHub


GitHub

Pinned

  1. ETLmodule8- ETLmodule8- Public

    Three functions that are combined to pull data from a source and place it in a destination database by doing appropriate transformation. Here the data from Wikipedia movielist , Kaggle movies metad…

    Jupyter Notebook

  2. Mapping_Earthquakes_with_D3 Mapping_Earthquakes_with_D3 Public

    Using JavaScript and D3 library we traverse and retrieve GeoJSON Earthquake data and tectonic plate data In order to populate the geographical map we also used JavaScript Leaflet Library along with…

    JavaScript

  3. MOD12BellybuttonBio MOD12BellybuttonBio Public

    To cater the growing population and to reduce the carbon emission we are in a place to find an alternative to meat Combining plant based protein and the microorganism which makes us feel the taste …

    JavaScript

  4. Plan_My_Trip Plan_My_Trip Public

    In this remote working world where we are all stressed out unwinding ourselves by travelling to new places can be an option This project can help you choose the destination according to your weathe…

    Jupyter Notebook

  5. PySpark_AWS PySpark_AWS Public

    Took customer reviews dataset from AWS S3 and processed the data with PySpark using google colab ,the cleaned dataset is stored in appropriate tables in AWS RDS through pgAdmin.

    Jupyter Notebook

  6. Unsupervised-learning Unsupervised-learning Public

    This technique is used when there is no known output Using only the input data we process the data Used K Means Clustering Algorithm and Principle Component Analysis

    Jupyter Notebook