The Analytical cultures (trends) I have witnessed so for
Since the time I started off, not only have I grown and evolved as an data scientist, I have also witnessed the data science domain, transform and evolve to what it is now. As we speak, we are, in the midst of this change and evolution; where this leads us to, and how it impacts […]
Post COVID ‘New Normal’ – Attitudinal Segmentation
Background: We are in the midst of a unprecedented outbreak of mass proportions. We in India have seen have seen a series of all possible forms of lockdowns and un–lockdowns, the problem still seems to be looming large upon us. A new normal has gotten recalibrated and is here to stay. So, what’s on Indians’ […]
DIY – Analytics (Do IT Yourself)
A few years back myself and my beloved good friend Abhishek Kapoor (https://www.linkedin.com/in/abhishekkaps/), (when he was working with us at Juxt Smartmandate) created some of the Do It Yourself (DIY) tools for the researches using R and shiny ,which can very handy for researchers/Analysts to quickly process the data and see the results These […]
What is causing Increasing Anxiety Levels in this Pandemic time?
Objective: As the world is witnessing an unprecedented outbreak of mass proportions, and all of us are doing our bit by ensuring ‘social distancing’, essentially locking ourselves inside our own homes, totally avoiding social interactions. We wanted to understand what are the different attitudes/actions which are causing increased anxiety levels in this pandemic. Data source: […]
Post COVID ‘New Normal’ – Multigenerational point of view
Background: We are in the midst of a unprecedented outbreak of mass proportions. We in India have seen have seen a series of all possible forms of lockdowns and un–lockdowns, the problem still seems to be looming large upon us. A new normal has gotten recalibrated and is here to stay. So, what’s on Indians’ […]
Making ML More Meaningful with Interpretability
Objective: Understanding the fairness of the complex machine learning algorithms to apply real time scenario with more and clear interpretability. Approach: Without reasonable understanding of how a model or data science pipeline works, real world projects rarely succeed. This study is about predicting the professor’s salary based on various characteristics like their years of experience, […]
Refresh knowledge
As the world is witnessing an unprecedented outbreak of mass proportions, and all of us are doing our bit by ensuring ‘social distancing’, essentially locking ourselves inside our own homes, totally avoiding social interactions. While our physical office stays closed and we continue to work remotely as team and manage project deadlines, missing the learning […]
Text classification – Recommending Product based on their reviews
Objective One of the leading retail company wanted to understand what is prompting users to recommend a certain product, from their reviews for the given product. Approach The reviews for the product, the satisfaction score and information on whether they recommend the product to others or not, was scraped and this was the input data […]
Identifying which statistical concepts are applied on various research papers using Topic Modeling.
Objective: As Statistics is being major contribution for research and it overlaps a great deal with machine learning as well as with deep learning applications, we have developed a model in order to find out which statistical concepts applied over particular research papers using topic modeling. Approach We have applied LDA (Latent Dirichlet Allocation) a […]
The Effect of IoT data in Marketing
Need We are all aware that machine data – from mobile apps, IoT devices etc are richer and more accurate. With the explosion of devices and data usage, we live in times of unprecedented data. The challenge is in creating the right technology and analytics driven ecosystem to capture and utilize this information for business […]