I majorly worked in lending industry, so one
of the problems like it is traditional problem
is which is each industry is working on is
predicting whether the customer if we are
giving a particular credit line or credit
product to the customer, will he payback or
will she payback or not.
Hi everyone!
Today we have Abhishek Periwal with us.
Abhishek is a machine learning data scientist
at Flipkart and today he will be talking about
how he got started in data science, how his
journey has been and any advice that he has
for new people who are looking to start in
data science.
Abhishek, Welcome!
 
Can you run us through some of the problems,
projects that you handled while at Flipkart?
So that is like one of the problems which
we are solving.
So how it is different in Flipkart, the thing
is, the data other NBFCs banks are having
the credit history of the customer, so we
are solving it with a different dimension.
We are looking into the purchase history of
the customer and we are solving according
to his budget behavior, his or her activity
on Flipkart.
So, it starts from feature engineering first,
you have to create the features which could
be relevant.
Now it is about EV testing because you don’t
know the past of the person, whether he is
a good customer or not.
So you have to choose an experimental segment,
experiment on that, then you build a model
which is biased then you create another model
to remove the biases of the previous model.
So things keep iterating and going in a better
and better way.
So this is one of the projects and projects
which I am working on is still in the development
phase.
I hope we will have a good product by the
end of this year.
