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It's a simple aptitude like anyone can crack it. Only important thing is their last 5 theory questions. That's it.
I would rate my knowledge in the stock market as intermediate.
I have a solid understanding of fundamental analysis and financial statements
I actively follow market trends and news to make informed investment decisions
I have experience in conducting company valuations and industry research
Market trends are influenced by various factors such as economic indicators, geopolitical events, investor sentiment, and industry-specific developments.
Economic indicators like GDP growth, inflation rates, and interest rates play a significant role in shaping market trends.
Geopolitical events such as trade wars, political instability, and global conflicts can impact market sentiment and volatility.
Investor sentiment, ...
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I applied via Campus Placement and was interviewed before May 2020. There were 4 interview rounds.
I applied via Recruitment Consultant and was interviewed in Dec 2020. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed in Mar 2021. There were 3 interview rounds.
I applied via Walk-in and was interviewed in Mar 2020. There was 1 interview round.
I applied via Naukri.com and was interviewed in May 2021. There was 1 interview round.
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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