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I applied via Referral and was interviewed in May 2024. There was 1 interview round.
Guestimate question on how a new product can be launch
Top trending discussions
I applied via Referral and was interviewed in Mar 2020. There were 5 interview rounds.
Implemented data-driven strategies to increase revenue by 15% in previous company.
Developed predictive models to optimize pricing strategies
Identified key customer segments for targeted marketing campaigns
Automated data collection and analysis processes for efficiency
Collaborated with cross-functional teams to implement data-driven decisions
I applied via Referral and was interviewed in Nov 2019. There were 5 interview rounds.
Implemented a machine learning model to predict customer churn using advanced algorithms
Developed a predictive model using logistic regression, random forest, and gradient boosting
Utilized feature engineering techniques to improve model performance
Integrated the model into the company's CRM system for real-time predictions
I applied via Referral and was interviewed before Oct 2023. There were 3 interview rounds.
SQL Based Test - Joins, Order of Execution
Case study on how you would place a shop outlet in an airport?
I applied via LinkedIn and was interviewed before Jan 2024. There were 2 interview rounds.
They asked a guesstimate case question. The question was, If you are the manager of McDonalds, where would you place it in the international chennai airport (Arrival or departure).
What will be the yearly revenue McDonalds if all items are priced at Rs.100.
I applied via Naukri.com and was interviewed before Dec 2023. There was 1 interview round.
A list of behavior questions were shared to be filled.
I applied via Approached by Company and was interviewed in Oct 2022. There were 4 interview rounds.
M maximum numbers from array.
Merge sort
Top products for user queries can be determined by analyzing search logs and user behavior.
Analyze search logs to identify frequently searched products
Use machine learning algorithms to predict user preferences
Consider user behavior and purchase history to recommend products
Examples: Amazon's 'Frequently Bought Together' and 'Customers Who Bought This Item Also Bought' sections
A lambda function in Python is a small anonymous function defined using the lambda keyword.
Lambda functions can have any number of arguments, but can only have one expression.
Syntax: lambda arguments : expression
Example: lambda x, y : x + y
dbutils is a utility provided by Databricks for interacting with files and directories in the Databricks environment.
dbutils.fs.ls('/') - list files in root directory
dbutils.fs.cp('dbfs:/file.txt', 'file.txt') - copy file from DBFS to local file system
dbutils.fs.mkdirs('dbfs:/new_dir') - create a new directory in DBFS
A commit in SQL is a command that saves all the changes made in a transaction to the database.
A commit is used to make all the changes made in a transaction permanent.
Once a commit is issued, the changes cannot be rolled back.
It is important to use commit to ensure data integrity and consistency.
Example: COMMIT; - this command is used to commit the changes in a transaction.
I applied via Job Portal
There is a test where you build data pipeline
Spark can be used for real-time data processing in streaming use cases.
Spark Streaming allows for processing real-time data streams.
It can handle high-throughput and fault-tolerant processing.
Examples include real-time analytics, monitoring, and alerting.
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