Ehcc Hospital Interview Questions and Answers

Data science project pipeline involves multiple components and follows a step-by-step process.

• 1. Define the problem statement and objectives of the project.

• 2. Collect and preprocess the data needed for analysis.

• 3. Explore and visualize the data to gain insights.

• 4. Build and train machine learning models to solve the problem.

• 5. Evaluate the models using appropriate metrics.

• 6. Deploy the model into production and monitor its performance.

• 7. Communicate the results and findings t...read more

I take my solution to production by following a structured process involving testing, deployment, monitoring, and maintenance.

• Develop a robust testing strategy to ensure the solution performs as expected in a production environment

• Use continuous integration and continuous deployment (CI/CD) pipelines to automate the deployment process

• Implement monitoring tools to track the performance of the solution in real-time and address any issues promptly

• Establish a maintenance plan to ...read more

Model inference is the process of using a trained machine learning model to make predictions on new data.

• Load the trained model

• Preprocess the new data in the same way as the training data

• Feed the preprocessed data into the model to make predictions

• Interpret the model's output to make decisions or take actions

Optimizing Spark queries involves tuning configurations, partitioning data, using appropriate data formats, and caching intermediate results.

• Tune Spark configurations for memory, cores, and parallelism

• Partition data to distribute workload evenly

• Use appropriate data formats like Parquet for efficient storage and retrieval

• Cache intermediate results to avoid recomputation

No, I have not used GEN AI in my work as a Data Scientist.

• I have not used GEN AI in any of my projects or analyses.

• I am not familiar with GEN AI and its capabilities.

• I have not had the opportunity to work with GEN AI in any capacity.