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Tata Digital
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Developed a machine learning model to predict customer churn for a telecom company.
Collected and cleaned customer data including demographics, usage patterns, and customer service interactions.
Used various machine learning algorithms such as logistic regression, random forest, and XGBoost to build and evaluate the model.
Identified key factors contributing to customer churn such as contract length, monthly charges, and ...
A recommendation system can be built using collaborative filtering, content-based filtering, or hybrid approaches.
Collect and preprocess data on user preferences and item attributes
Implement collaborative filtering by recommending items based on user behavior and preferences
Utilize content-based filtering by recommending items similar to those previously liked by the user
Consider hybrid approaches that combine collabor...
I applied via LinkedIn and was interviewed before Oct 2023. There were 3 interview rounds.
Basic aptitude question
I applied via Campus Placement and was interviewed before May 2023. There was 1 interview round.
Reverse a string in a list of strings
Iterate through each string in the list
Use the built-in function to reverse each string
Store the reversed strings in a new list
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
Joins are used to retrieve data from multiple tables based on a related column
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column
I applied via Walk-in and was interviewed before Oct 2023. There was 1 interview round.
Proficiency in cloud technology is essential for data scientists to efficiently store, manage, and analyze large datasets.
Experience with cloud platforms like AWS, Azure, or Google Cloud
Knowledge of cloud storage solutions like S3, Blob Storage, or Cloud Storage
Understanding of cloud computing concepts like virtual machines, containers, and serverless computing
Ability to work with big data technologies like Hadoop, Spa
I applied via Naukri.com and was interviewed before Nov 2023. There was 1 interview round.
Bigquery architecture is a distributed, serverless, highly scalable, and cost-effective data warehouse designed for large-scale data analytics.
Bigquery uses a distributed architecture to store and query data across multiple servers for high performance.
It is serverless, meaning users do not need to manage any infrastructure and can focus on analyzing data.
Bigquery is highly scalable, allowing users to easily scale up o...
Data ingestion is the process of collecting, importing, and processing data from various sources into a storage system.
Data ingestion involves extracting data from different sources such as databases, APIs, files, and streaming platforms.
The extracted data is then transformed and loaded into a data warehouse, data lake, or other storage systems for analysis.
Common tools used for data ingestion include Apache Kafka, Apa...
I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
Informatica is a data integration tool used for ETL (Extract, Transform, Load) processes in data engineering.
Informatica is used for extracting data from various sources like databases, flat files, etc.
It can transform the data according to business rules and load it into a target data warehouse or database.
Informatica provides a visual interface for designing ETL workflows and monitoring data integration processes.
It ...
Datastage is an ETL tool used for extracting, transforming, and loading data from various sources to a target destination.
Datastage is part of the IBM Information Server suite.
It provides a graphical interface to design and run data integration jobs.
Datastage supports parallel processing for high performance.
It can connect to a variety of data sources such as databases, flat files, and web services.
Datastage jobs can b...
I applied via Recruitment Consulltant and was interviewed before Nov 2023. There was 1 interview round.
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