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Gave me 3 case studies related to organisational difficulties faced during a remote work.
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I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.
I applied via Walk-in and was interviewed in Mar 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed in Mar 2021. There was 1 interview round.
I have worked on various projects and have strong problem-solving skills.
I have worked on a project where we had to optimize the supply chain process, resulting in a 20% reduction in costs.
In another project, I identified a bottleneck in the production process and proposed a solution that increased efficiency by 30%.
I am skilled in using data analysis tools like Excel and SQL to identify and solve problems.
I have also ...
I applied via Campus Placement and was interviewed in Mar 2021. There were 5 interview rounds.
I applied via Campus Placement and was interviewed before Oct 2020. There were 5 interview rounds.
OOP concepts are the fundamental principles of Object-Oriented Programming.
Abstraction: Hiding implementation details and showing only necessary information.
Encapsulation: Binding data and functions together in a single unit.
Inheritance: Acquiring properties and behavior of a parent class by a child class.
Polymorphism: Ability of an object to take many forms or have multiple behaviors.
Examples: Java, C++, Python, Ruby,
I applied via Naukri.com and was interviewed before May 2021. There were 5 interview rounds.
I applied via Company Website and was interviewed before May 2021. There were 2 interview rounds.
They had ask the simple question during my interview process, here is the list if all questions:
1) what is df.copy()
2)why we choose inplace = True
3) Tfidf
4) confusion Matrix
5) can we use continuous variables for logistic regression
6)list and tuple diff
7)N grams, bag of words
8)access a column
9)lambda fn
10)method and object oops concepts
11) how to tackle Nan values
12) what is index in SQL
13)what is gini coefficient
14)when will you use linear regression and when you will use Decision Tres.
15) Random forest
16)Oops concepts
17)how to calculate the coefficient
18)PCA
19)SL/USL
20) classification/Regression
21)SVM
22)DT, RF, Hyper parameters in RF
23)how neural network works
24)NlP
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