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Basic Leetcode Questions
IF-IDF stands for Inverse Document Frequency - Term Frequency. It is used in information retrieval to measure the importance of a term in a document.
IF-IDF is a numerical statistic that reflects how important a word is to a document in a collection or corpus.
It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF) of the term.
IF-IDF helps in identifying the most relevant words in ...
Machine learning model is a type of artificial intelligence that allows computers to learn from data and make predictions or decisions.
Machine learning models are trained on large datasets to identify patterns and relationships.
There are different types of machine learning models such as supervised, unsupervised, and reinforcement learning.
Supervised learning models are trained on labeled data to make predictions on ne...
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I applied via campus placement at National Institute of Technology (NIT), Warangal
1 hour aptitude test
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
I applied via campus placement at National Institute of Technology (NIT), Rourkela and was interviewed in Jun 2024. There were 2 interview rounds.
Simple Aptitude questions, Data interpretation and verbal
The candidate is asked to code in SQL and Python at a moderate level.
Use SQL to query data from databases
Use Python to manipulate and analyze data
Practice writing SQL queries and Python scripts
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?
I applied via Approached by Company and was interviewed before Nov 2023. There were 2 interview rounds.
It was basic with puzzles and sql
Case study about a pharma company entering a new market, customer segmentation and also past projects discussion.
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
I applied via campus placement at Indian Institute of Technology (IIT), Jodhpur and was interviewed in Feb 2021. There was 1 interview round.
Estimating the number of WhatsApp users worldwide requires a combination of data sources and statistical methods.
Collect data from WhatsApp's official reports and announcements
Use third-party analytics tools to estimate user numbers
Analyze demographic and geographic trends to extrapolate global user numbers
Consider factors such as population growth and smartphone adoption rates
Compare with similar messaging apps to val
I will start by understanding the data source and its quality, then clean and preprocess the data before performing exploratory data analysis.
Understand the data source and its quality
Clean and preprocess the data
Perform exploratory data analysis
Identify patterns and trends in the data
Use statistical methods to analyze the data
Visualize the data using graphs and charts
Iterate and refine the analysis as needed
Basic Python , numpy and pandas MCQ and easy coding question
Basic ML Case interview. Asked to find "How check if a promotion was successful"
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