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I applied via Company Website and was interviewed before Mar 2022. There were 3 interview rounds.
Use a line chart to show year-wise trend.
Line chart is the best option to show year-wise trend.
It helps to visualize the trend over time.
X-axis represents the year and Y-axis represents the data points.
Multiple lines can be used to compare trends.
Example: Line chart showing the sales trend of a company from 2015 to 2020.
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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 Internshala and was interviewed in May 2024. There were 2 interview rounds.
Done in notepad. Data analysis fundamental and coding fundamentals were covered.
I applied via campus placement at SSN College of Engineering, Chennai
Normal Aptitude Test
Python or SQL coding round
posted on 8 Mar 2024
I applied via Approached by Company
I applied via campus placement at Nitte Meenakshi Institute of Technology, Bangalore and was interviewed before Nov 2023. There were 5 interview rounds.
2 coding questions in 45 min
30 min of logical reasoning and basic aptitude
30 min of GD over a general topic to check your communication skills
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 Referral and was interviewed before May 2023. There were 3 interview rounds.
Questions were tough- DP Array
Different GPOs policy were discussed
I applied via Naukri.com and was interviewed before Jul 2022. There were 5 interview rounds.
SQL test based on queries output
based on 3 reviews
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