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I applied via Approached by Company and was interviewed in Aug 2023. There were 3 interview rounds.
It was easy with basic financial background questions
TWRR measures the compound rate of return over multiple sub-periods, while MWRR measures the rate of return over a single period.
TWRR considers the impact of cash flows during the investment period, while MWRR does not.
TWRR is more suitable for evaluating the performance of a portfolio over time, while MWRR is more suitable for evaluating the performance of a single investment.
TWRR is also known as the time-weighted ra...
Yes, TWRR does use cashflows to calculate investment performance.
Time-Weighted Rate of Return (TWRR) takes into account the impact of cashflows on investment performance.
Cashflows are factored in to accurately measure the return on investment over time.
TWRR is commonly used in the finance industry to evaluate the performance of investment portfolios.
For example, if an investor adds or withdraws funds from their portfol...
Attribution is the process of identifying and assigning credit to various touchpoints in a customer's journey that led to a desired outcome.
Attribution helps businesses understand the effectiveness of different marketing channels and campaigns.
Common attribution models include first touch, last touch, linear, and U-shaped.
Example: If a customer sees an ad on social media, then clicks on a Google ad, and finally makes a...
Instruments information is loaded by extracting data from various sources and importing it into a centralized database.
Extract data from external sources such as spreadsheets, databases, APIs, etc.
Transform the data into a standardized format suitable for the database.
Load the transformed data into the database using ETL tools or scripts.
Verify the accuracy and completeness of the loaded information.
Update the database...
TWRR is better for measuring the performance of a portfolio over time, while MWRR is better for comparing the performance of different portfolios.
TWRR (Time-Weighted Rate of Return) is better for evaluating the performance of a portfolio over time as it eliminates the impact of external cash flows.
MWRR (Money-Weighted Rate of Return) is better for comparing the performance of different portfolios or investment options ...
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posted on 6 Feb 2024
I applied via Recruitment Consulltant and was interviewed before Feb 2023. There were 3 interview rounds.
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
I applied via campus placement at Indian Institute of Technology (IIT), Jodhpur and was interviewed in Jun 2024. There was 1 interview round.
A p-value is a measure used in statistical hypothesis testing to determine the strength of evidence against the null hypothesis.
A p-value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.
A p-value is compared to a significance level (usually 0.05) to determine if the null hypothesis should be rejected.
A p-value less than the significance level indicates st
The output of a**2 is the square of the value of a.
The output is the value of a multiplied by itself
For example, if a = 3, then the output would be 9 (3*3)
append() adds elements to a single DataFrame, while concat() combines multiple DataFrames.
append() is a method used to add rows to a DataFrame.
concat() is a function used to combine multiple DataFrames along a particular axis.
append() modifies the original DataFrame, while concat() returns a new DataFrame.
Example: df1.append(df2) vs pd.concat([df1, df2])
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
Error handling in PySpark involves using try-except blocks and logging to handle exceptions and errors.
Use try-except blocks to catch and handle exceptions in PySpark code
Utilize logging to record errors and exceptions for debugging purposes
Consider using the .option('mode', 'PERMISSIVE') method to handle corrupt records in data processing
Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.
Polymorphism allows objects of different classes to be treated as objects of a common superclass.
It enables a single interface to be used for different data types or classes.
Examples include method overloading and method overriding in object-oriented programming.
I applied via Naukri.com and was interviewed in Apr 2024. There were 2 interview rounds.
Detailed interview on SQL, Tableau & Alteryx
posted on 16 Feb 2024
I applied via campus placement at Madras School of Economics, Chennai and was interviewed in Aug 2023. There were 2 interview rounds.
Asked questions from python and SQL
Tuples are ordered collections of elements, similar to lists but immutable.
Tuples are created using parentheses ()
Elements in a tuple can be of different data types
Tuples are immutable, meaning their elements cannot be changed once created
Credit risk refers to the potential loss that a lender may incur due to a borrower's failure to repay a loan or meet their financial obligations.
Credit risk is the risk of default on a debt that may arise from a borrower failing to make required payments.
It is a key consideration for banks and financial institutions when lending money.
Factors that contribute to credit risk include the borrower's credit history, financi...
Data analysis in Python involves importing data, cleaning and preprocessing, performing statistical analysis, and visualizing results.
Import data using libraries like pandas
Clean and preprocess data by handling missing values and outliers
Perform statistical analysis using libraries like numpy and scipy
Visualize results using libraries like matplotlib and seaborn
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