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I applied via Walk-in and was interviewed in Dec 2024. There were 5 interview rounds.
1 question from DSA,
Find no of ways to climb the stairs.
Java collections, Java 8 features and few Spring based aptitude questions
I applied via Recruitment Consulltant and was interviewed in Dec 2024. There was 1 interview round.
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
Utilize customer transaction data and behavior analysis to identify loyal customers for DMart and SmartBazar.
Use customer transaction history to identify frequent shoppers
Analyze customer behavior patterns such as repeat purchases and average spend
Implement loyalty programs to incentivize repeat purchases
Utilize customer feedback and reviews to gauge loyalty
Segment customers based on their shopping habits and preferenc
It depends on the business model and goals of the company.
Small transactions everyday can lead to consistent revenue streams and customer engagement.
Big transactions in a month can indicate high purchasing power and potential for larger profits.
Consider customer lifetime value, retention rates, and overall business strategy when determining value.
I would conduct a thorough analysis of the sales data to identify trends and potential causes of the decline.
Review historical sales data to identify patterns or seasonality
Conduct customer surveys or interviews to gather feedback
Analyze competitor data to understand market dynamics
Implement predictive modeling to forecast future sales
Collaborate with marketing team to develop targeted strategies
I would showcase the potential benefits and results of my innovative approach to convince the team.
Highlight the advantages of the innovative approach such as improved efficiency, accuracy, or cost-effectiveness.
Provide real-world examples or case studies where similar innovative approaches have led to successful outcomes.
Encourage open discussion and collaboration within the team to explore the potential of combining ...
1. A store has promotional offers how will you analyse that offers are working in their favour.
2. What data will you require if you want to predict the sales of the chocolate in a store.
3. Why data is distributed normally in linear regression.
4. Difference between linear and logistic regression
5. A person who is senior to you and you are working on the same project. But that person has very bad reputation of misbehaving and being rude to people. And he is doing same with you. What will you do?
posted on 22 Oct 2024
I applied via Approached by Company and was interviewed in Sep 2024. There were 4 interview rounds.
Handle stakeholder's interests by understanding their needs, communicating effectively, and delivering results.
Understand the stakeholders' needs and priorities
Communicate regularly and effectively with stakeholders
Involve stakeholders in decision-making processes
Deliver results that align with stakeholders' interests
Manage expectations and address concerns promptly
SQL Rank functions.
Python easy to medium DSA programs.
Pyspark Concepts and questions.
Analytical functions in SQL are used to perform calculations on sets of rows.
Aggregate functions like SUM, AVG, COUNT, MIN, MAX
Window functions like ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD
Ranking functions like NTILE, PERCENT_RANK, CUME_DIST
Statistical functions like STDDEV, VARIANCE
String functions like CONCAT, SUBSTRING, TRIM
I applied via Naukri.com
I applied via Campus Placement
Market Research Questions
posted on 7 Sep 2024
I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
Covenants in commercial lending are conditions set by lenders that borrowers must meet to maintain the loan agreement.
Covenants are financial ratios or performance metrics that borrowers must adhere to
They are designed to protect the lender by ensuring the borrower remains financially stable
Examples include debt-to-equity ratio, interest coverage ratio, and minimum liquidity requirements
Bank Guarantee is a guarantee from a bank that a borrower will fulfill their financial obligations, while Letter of Credit is a payment method where the bank guarantees payment to the seller.
Bank Guarantee is a guarantee provided by a bank to a beneficiary in case the applicant fails to fulfill their obligations.
Letter of Credit is a payment method where the bank guarantees payment to the seller upon presentation of sp...
Collateral in commercial lending refers to assets that a borrower pledges to a lender as security for a loan.
Collateral can include real estate, equipment, inventory, accounts receivable, or other valuable assets.
The lender can seize and sell the collateral if the borrower defaults on the loan.
Collateral helps reduce the lender's risk and allows borrowers to access financing at lower interest rates.
The value of the col...
A Credit Agreement is a contract between a borrower and a lender outlining the terms and conditions for a loan.
It specifies the amount of the loan, interest rate, repayment schedule, and any collateral required.
The agreement also includes provisions for default, late payments, and other consequences.
Credit agreements can be for various types of loans, such as mortgages, car loans, or personal loans.
I applied via Referral and was interviewed in Jul 2024. There were 4 interview rounds.
Aptitude test conducted with normal logical reasoning, verbal ability and quantitative type aptitude problems were asked.
Case study round scheduled with Practice Director:
Started with normal greetings and basic introduction followed by deep dive into the resume and some questions based on what was in my resume. Then started with the case study.
Case : Your client is a totally offline bank ( think of SBI) and wants to undergo a digital transformation (somewhat like HDFC wherein all services are online as well) . How would you create a framework to do so ?
Estimating the number of viewers for the 2024 T20 World Cup.
Consider past viewership trends for T20 World Cup events.
Analyze the popularity of cricket in the host country and globally.
Take into account the impact of digital streaming platforms on viewership.
Factor in potential growth in viewership due to increased interest in T20 cricket.
Consult experts in sports broadcasting and market research for insights.
Estimating the number of Gyms in Delhi based on population density, urbanization, and market demand.
Consider the population density of Delhi
Analyze the urbanization level in different areas of Delhi
Research on the market demand for fitness centers in Delhi
Consult with local authorities or fitness industry experts for insights
Use data from online directories or platforms listing Gyms in Delhi
I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.
30 easy aptitude questions.
Video analysis involves summarizing the content of a video in bullet points.
Identify key themes or topics discussed in the video
Highlight important events or moments
Note any key statistics or data presented
Summarize the main conclusions or takeaways
Include any notable visuals or graphics shown
The video showcased various examples of data analysis and visualization techniques.
Exploratory data analysis using histograms and scatter plots
Predictive modeling using regression and classification algorithms
Time series analysis for forecasting future trends
Text mining for sentiment analysis
Clustering techniques for customer segmentation
I am a recent graduate with a degree in Computer Science and a passion for data analysis and machine learning.
Recent graduate with a degree in Computer Science
Passionate about data analysis and machine learning
Experience with programming languages like Python and R
Completed projects involving data visualization and predictive modeling
Mu Sigma is a data analytics and decision sciences company that helps organizations make data-driven decisions.
Mu Sigma was founded in 2004 and is headquartered in Chicago, Illinois.
They provide services in areas such as marketing analytics, supply chain analytics, and risk analytics.
Mu Sigma has worked with Fortune 500 companies across various industries to help them leverage data for better decision-making.
The compan...
I want to join Mu Sigma because of their reputation for providing challenging and impactful data science projects.
Mu Sigma is known for working on cutting-edge data science projects with top clients
I am excited about the opportunity to work with a diverse team of data scientists and learn from their expertise
I believe Mu Sigma's focus on innovation and problem-solving aligns with my own career goals
I faced challenges in data cleaning, feature engineering, and model optimization during my projects.
Data cleaning: Dealing with missing values, outliers, and inconsistencies in the data.
Feature engineering: Creating new features from existing data to improve model performance.
Model optimization: Tuning hyperparameters and selecting the best algorithm for the problem.
Example: In a project predicting customer churn, I ha...
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
Functions return a single value, while stored procedures can perform multiple operations and return multiple values.
Functions return a single value, while stored procedures can return multiple values.
Functions are called in SQL statements, while stored procedures are called using EXECUTE statement.
Functions cannot have output parameters, while stored procedures can have output parameters.
Functions cannot modify server ...
Custom exceptions can be implemented in MVC by creating a new class that inherits from Exception class.
Create a new class that inherits from Exception class
Override the constructor to pass a custom message to the base Exception class
Throw the custom exception in the MVC controller or service layer
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