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I applied via Campus Placement and was interviewed before May 2023. There was 1 interview round.
Logistic Regression is a statistical method used to model the probability of a certain event occurring based on one or more predictor variables. Recall is a metric used to evaluate the performance of a classification model.
Logistic Regression is used for binary classification tasks, where the outcome variable is categorical and has two classes.
It estimates the probability that a given input belongs to a certain categor...
Recall is a metric used in classification models to measure the ability of the model to find all relevant cases within a dataset.
Recall is calculated as the number of true positive predictions divided by the sum of true positive and false negative predictions.
It is also known as sensitivity or true positive rate.
A high recall indicates that the model is good at identifying all relevant cases, even if it means more fals...
Linear regression is used for predicting continuous values, while logistic regression is used for predicting binary outcomes.
Linear regression is used when the target variable is continuous and has a linear relationship with the independent variables.
Logistic regression is used when the target variable is binary or categorical and the relationship between independent variables and the target is non-linear.
Linear regres...
Performance metrics of Regression include Mean Squared Error, R-squared, Mean Absolute Error, etc.
Mean Squared Error (MSE)
R-squared (R^2)
Mean Absolute Error (MAE)
Root Mean Squared Error (RMSE)
Adjusted R-squared
I applied via Campus Placement and was interviewed before Oct 2022. There were 3 interview rounds.
Statistics assignment on given dataset
Top trending discussions
Create a function to generate a transaction bin column based on transaction amounts.
Create bins based on transaction amounts (e.g. $0-$100, $101-$200, etc.)
Use pandas cut() function in Python to create bins
Assign bin labels to the transactions based on the bin ranges
I applied via Referral and was interviewed in Oct 2024. There were 3 interview rounds.
Sql, python, statistical questions
Daily work involves analyzing data, creating reports, and communicating findings to stakeholders.
Reviewing and cleaning data sets
Creating visualizations and dashboards
Conducting statistical analysis
Communicating insights to non-technical stakeholders
Some of the most commonly used tools for data analysis include Excel, Python, R, Tableau, and SQL.
Excel is widely used for data manipulation and analysis.
Python and R are popular programming languages for data analysis and machine learning.
Tableau is a powerful data visualization tool.
SQL is essential for querying databases and extracting data.
4 sql tasks on 3 tables. Joins, subqueries
I applied via Naukri.com and was interviewed in Jul 2024. There were 4 interview rounds.
Topics were, DSA, SQL, PL/SQL, Data Augmentation
Customer churn classification using a classification ML model
Bubble sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.
Start with the first element and compare it with the next element, swapping if necessary
Repeat this process for each pair of adjacent elements in the array until the entire array is sorted
Continue this process for each element in the array until no more swaps are ne
An API (Application Programming Interface) is a set of rules and protocols that allows different software applications to communicate with each other.
APIs define the methods for requesting and receiving data between software applications
APIs can be used to access data from external sources, such as social media platforms or weather services
Examples of APIs include the Twitter API, Google Maps API, and Spotify API
I am a data analyst with a strong background in statistics and data visualization.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in analyzing large datasets and creating data visualizations
Strong problem-solving skills and attention to detail
I applied via Approached by Company and was interviewed before Apr 2023. There was 1 interview round.
Implement lag() and lead() functions without using lag() or lead()
To implement lag(), shift the values in the array by one position to the right
To implement lead(), shift the values in the array by one position to the left
For example, to implement lag() on [1, 2, 3, 4], you can shift the values to get [null, 1, 2, 3]
For lead(), you can shift the values to get [2, 3, 4, null]
Optimising a query involves identifying bottlenecks and improving efficiency.
Identify slow-performing queries using tools like query execution plans.
Optimize database indexes to speed up query performance.
Limit the number of columns and rows returned in the query.
Avoid using SELECT * and instead specify only the necessary columns.
Use appropriate data types and avoid unnecessary data conversions.
Consider denormalizing d...
Replace 'b' with 'v' in the 3rd position of each string in an array
Iterate through each string in the array
Check if the 3rd position contains 'b'
If yes, replace 'b' with 'v'
I applied via Approached by Company and was interviewed in Apr 2024. There were 2 interview rounds.
I am proficient in SQL, Python, R, Tableau, and Excel for data analysis and visualization.
SQL
Python
R
Tableau
Excel
SQL Coding Tests. You get 3 tables and they ask you to find customer with certain conditions. Not hard
I applied via Job Portal and was interviewed in Aug 2024. There were 2 interview rounds.
Sql and aptitude questions
I am a data analyst with experience in analyzing and interpreting complex data sets to drive business insights.
Experienced in using statistical analysis tools such as Python, R, and SQL
Proficient in data visualization tools like Tableau and Power BI
Skilled in data cleaning, data mining, and data modeling techniques
Strong problem-solving and critical thinking skills
Effective communicator and team player
Example: I have w...
The biggest hurdle I faced during organizing the tech fest of my college was securing sponsorships.
Difficulty in convincing companies to sponsor the event
Limited budget for organizing a large-scale tech fest
Competition with other college events for sponsorships
Negotiating sponsorship deals and ensuring deliverables
Finding sponsors aligned with the theme and objectives of the tech fest
Yes, pursuing an MBA can enhance my skills and open up new career opportunities.
An MBA can provide a strong foundation in business and management principles.
It can help develop analytical and problem-solving skills.
An MBA can broaden my network and provide access to valuable connections.
It can open up leadership roles and higher-level positions in organizations.
Having an MBA can increase earning potential and job prosp...
Yes, Reliance Fresh should open a store in the north-eastern part of India.
The north-eastern part of India has a growing population and increasing consumer demand.
Reliance Fresh can tap into the untapped market potential in the region.
Opening a store in the north-eastern part of India can help Reliance Fresh expand its presence and increase its market share.
Reliance Fresh can leverage its existing supply chain and dist...
The number of people travelling by local metro in Mumbai is estimated to be in millions.
Mumbai has a population of over 20 million people.
The local metro is a popular mode of transportation in Mumbai.
During peak hours, the metro trains are usually crowded.
The metro network in Mumbai is extensive, covering various parts of the city.
The number of daily commuters on the metro can be estimated based on population density a
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