How have I organized this page ?

This page contains details about projects that I have worked on. In order to help readers get the crux of my work with a single look, I have organized each project using a self-designed template :

  • The Project Overview
  • The Links to the Project
  • Reason for the Project’s proximity to my Heart
  • Additional Materials (If applicable)

NOTE: In case there is a problem with any of the graphics displayed, a simple webpage reload will solve the problem :)


Making Perfect “Chai” and Other Tales

A Thematic Analysis of CTDS’s Most Loved Episodes by Ramshankar Yadhunath

The Project Overview : This project is my official submission to the CTDS.show contest held on Kaggle. The task was to unearth insights and tell an interesting/actionable story with the dataset of the Chai Time Data Science podcasts. I won the contest and more details on my experience on this contest has been described in this blog post.

The Links to the Project : The following links provide further details on my work in this project.

Reason for the Project’s proximity to my Heart

  • An interesting dataset to work with
  • An interesting problem statement with lots of angles to view it from
  • First competition win

CouReco - Simple Course Recommendation System for Online Courses

The Project Overview : CouReco is a minimalistic system built on the idea to help learners navigate through the courses on Coursera, aided by a data-driven strategy. Currently, CouReco only performs the task of identifying the most similar and most dissimilar courses to a selected course that is chosen by the learner from a pool of courses relevant to the skills the learner is interested in.

The Links to the Project : The project’s detailed code and related documentation can be found here

Reason for the Project’s proximity to my Heart

  • Used web scraping to create the dataset
  • Deployed locally with Streamlit

Leveraging Data for Social Good — A Practical Example

Data Science For Social Good by Ramshankar Yadhunath

The Project Overview : This project is more of a story than a project. It’s a story of how five 2nd year undergraduates studying various disciplines came together, put the differences in their thoughts aside, followed a practical methodology and helped over 300 tenants at a rural North Indian village that was so underprivileged that it did not even have a spot for it on the state’s geographical map.

The Links to the Project : I have already covered this project in detail via an article in Medium and the code is available on my Github account. So, I shall leave those links out here in case you wish to know more.

Reason for the Project’s proximity to my Heart

  • Socially-relevant project
  • Focus on end-to-end consideration
  • Involvement of data collection practices
  • Ethical obligation(The villagers had pinned their hopes on us to provide them with a solution to their water problems)

Criminal Activity Hotspot Analysis

CSITSS 2019 Conference Presentation by Ramshankar Yadhunath

The Project Overview : The project finds relevance in analysing the prevelance of areas of high crime rates(called hotspots) in cities. Through our work, we have gone a little deeper than conventional studies of criminal activity hotspots and have established a relation that If crime can vary across months, across days in the week and even across hours of the very same day; it is definitely a fact that the rate of crime will not remain constant across districts within a city at any point of time. Some may face greater vulnerabilities to criminal activity than others. Based on this idea, we put together a predictive modelling study that helped create a model that would be able to predict the relative susceptibilities of districts in a city based on past crime records in these regions at given time points(a time point is made up of hour, day and month).

Our final work also took shape as a conference paper at CSITSS 2019 held at RVCE, Bengaluru, Karnataka, India.

The Links to the Project : The project’s detailed code and related documentation can be found here

Reason for the Project’s proximity to my Heart

  • Socially-relevant project work
  • First published research paper
  • Won the “Best Paper” award at CSITSS 2019

Analyzing Chocolate Bar Ratings

A Chocolatey Infographic by Ramshankar Yadhunath

The Project Overview : Exploratory Data Analysis(EDA) is one of the most crucial steps in a Data Science project. EDA in basic terms is a way of “Understanding the data with the help of visualizations and descriptive statistics”. A lot of courses I signed up for in the past emphasised on the need to use EDA to understand datasets and use this information to either model a ML/DL problem or tell a convincing story about the dataset to a stakeholder. Therefore, through this project I made an attempt at improving my EDA skills using the Chocolate Bar Ratings Dataset.

The Links to the Project : The project’s detailed code and related documentation can be found here

Reason for the Project’s proximity to my Heart

  • First fully-explained EDA project
  • First shot at designing an infographic