Skip to content
View rituparrna33's full-sized avatar

Block or report rituparrna33

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
rituparrna33/README.md

Hi 👋, I'm Rituparna Das

I am a Senior Business Analyst at Iron Mountain.I pursued MS in Business Analytics from Foster School of Business,University of Washington, Seattle

  • 💞️ I’m looking to collaborate on Interesting data analytics projects

  • 👀 I’m interested in Driving Revenue with Analytics and Data Science

  • 🌱 I converse in Python,SQL, and Tableau

  • 📫 How to reach me Email : [email protected]

Blogs posts

Connect with me:

rituparna-das13 rituparnadas13 @ritupd rituparrna33

Languages and Tools:

mysql pandas python scikit_learn seaborn

rituparrna33

Pinned Loading

  1. Visualizing_Covid_19_Data Visualizing_Covid_19_Data Public

    Visualizing Covid 19 cases:you will visualize COVID-19 data from the first several weeks of the outbreak to see at what point this virus became a global pandemic

    Jupyter Notebook

  2. Failed-order-analysis-of-Gett-cab-app Failed-order-analysis-of-Gett-cab-app Public

    Investigating some matching metrics for orders that did not completed successfully, i.e., the customer didn't end up getting a car of Gett

    Jupyter Notebook

  3. Target-Marketing-using-Logistic-Regression Target-Marketing-using-Logistic-Regression Public

    This exercise focuses on the classic scoring activity (regularly carried out for customer acquisition). The firm in question is a CD club.

    Jupyter Notebook

  4. K-means-Clustering-on-HubwayTrips-Dataset K-means-Clustering-on-HubwayTrips-Dataset Public

    Clustering to find customer segment of the Boston based ride sharing program Hubway

  5. United-Nations-Voting-Dataset-Exploration United-Nations-Voting-Dataset-Exploration Public

    Using data manipulation and visualisation to explore historical voting of the United Nations General Assembly

  6. Querying-messy-data-using-SQL Querying-messy-data-using-SQL Public

    To get a hands-on experience with real-life messy data, I chose to work with food and nutrient data available on FoodData Central. I wanted to compare nutrients across different types of foods avai…