Innovaccer Interview Questions, Process, and Tips for Freshers

Python coding, simple

Q1. Data analytics related, imbalanced data set handling
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Q2. Overfit and how to fix that
Ans. 
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
• Regularization techniques like L1 and L2 regularization can help prevent overfitting by penalizing large coefficients.

• Cross-validation can be used to evaluate the model's performance on unseen data and prevent overfitting.

• Feature selection or dimensionality reduction techniques can help reduce overfitting by focusin...read more
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Q1. Java related questions
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Q2. Rest assured, selenium related questions
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It was Python coding and Sql query assessment round.

Q1. Perform task on joins?
Ans. 
Joins are used to combine rows from two or more tables based on a related column between them.
• Use JOIN keyword to combine tables based on a common column

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id
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Q2. Explain projects
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Projects are specific tasks or assignments that require a set of skills and resources to complete.
• Projects are temporary endeavors with a defined beginning and end.

• They are unique, with specific goals, deliverables, and constraints.

• Projects require a team of individuals with different roles and responsibilities.

• Examples: Developing a data pipeline for real-time analytics, building a recommendation system for an e-comme
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It had 1 SQL question & 1 question on Dynamic Programming.

Q1. Question on group by, aggregate functions.
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Q2. Window functions
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Q1. What projects have you worked on ?
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Q2. Any interesting problem solved ?
Ans. 
Developed a predictive model to forecast customer churn for a telecom company.
• Identified key factors contributing to customer churn such as call drop rates and customer service response times.

• Collected and cleaned data from various sources including customer call logs and service records.

• Used machine learning algorithms such as logistic regression and random forest to build the predictive model.

• Achieved a prediction ac...read more
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