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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 ...
I appeared for an interview in Dec 2024, where I was asked the following questions.
CV-related questions assess your experience, skills, and fit for the data scientist role.
Highlight relevant projects: Discuss a project where you used machine learning to solve a real-world problem.
Showcase technical skills: Mention programming languages like Python or R, and tools like TensorFlow or SQL.
Emphasize teamwork: Provide an example of collaborating with cross-functional teams to achieve a common goal.
Discuss...
Data scientists analyze data to extract insights, build models, and inform decision-making across various industries.
Data Collection: Gathering data from various sources like databases, APIs, or web scraping.
Data Cleaning: Removing inconsistencies and handling missing values to prepare data for analysis.
Exploratory Data Analysis (EDA): Using statistical methods and visualization tools to understand data patterns.
Model ...
Top trending discussions
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 Campus Placement and was interviewed before Aug 2022. There were 3 interview rounds.
Coding round with a python question and SQL query
General Aptitude test
Databricks is a unified data analytics platform that includes components like Databricks Workspace, Databricks Runtime, and Databricks Delta.
Databricks Workspace: Collaborative environment for data science and engineering teams.
Databricks Runtime: Optimized Apache Spark cluster for data processing.
Databricks Delta: Unified data management system for data lakes.
To read a JSON file, use a programming language's built-in functions or libraries to parse the file and extract the data.
Use a programming language like Python, Java, or JavaScript to read the JSON file.
Import libraries like json in Python or json-simple in Java to parse the JSON data.
Use functions like json.load() in Python to load the JSON file and convert it into a dictionary or object.
Access the data in the JSON fi...
To find the second highest salary in SQL, use the MAX function with a subquery or the LIMIT clause.
Use the MAX function with a subquery to find the highest salary first, then use a WHERE clause to exclude it and find the second highest salary.
Alternatively, use the LIMIT clause to select the second highest salary directly.
Make sure to handle cases where there may be ties for the highest salary.
Spark cluster configuration involves setting up memory, cores, and other parameters for optimal performance.
Specify the number of executors and executor memory
Set the number of cores per executor
Adjust the driver memory based on the application requirements
Configure shuffle partitions for efficient data processing
Enable dynamic allocation for better resource utilization
I applied via Referral and was interviewed in Jul 2024. There were 2 interview rounds.
1hour,Time speed distance
1hour,sql,python,algebra,Average
based on 2 interview experiences
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