Leap Finance Data Associate Interview Questions and Answers

30 minutes Aptitude test

1 Hour 30 minutes on SQL screening test

Q1. What is K means
Ans. 
K-means is a popular clustering algorithm used to partition data points into K clusters based on similarity.
• K-means aims to minimize the sum of squared distances between data points and their respective cluster centroids.

• It requires the number of clusters (K) to be specified in advance.

• The algorithm iteratively assigns data points to the nearest cluster centroid and updates the centroids until convergence.

• K-means is se...read more
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Q2. Type 1 and Type 2 error
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Q1. What is Debt market
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Q2. Difference between shares and bonds
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Develop an ML solution from the given problem statement and data.

Q1. Discussion on your assignment and previous work.
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Q2. Why did you choose the model?
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Q3. Explain how GBM works
Ans. 
GBM is a machine learning algorithm that builds multiple decision trees to predict outcomes and combines them to improve accuracy.
• GBM stands for Gradient Boosting Machine

• It builds multiple decision trees sequentially, each one correcting errors made by the previous tree

• The final prediction is a combination of predictions from all the trees

• GBM is an ensemble learning technique that is popular for its high accuracy and f
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Q1. Question on bond markets
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Q1. General resume based question. Interviewer asked me to explain one of the past project and asked some questions based on that
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It was the assignment including the data science problem and SQL questions for one of the datetime table. Assignment was for 3 hours and had to complete some mandatory questions from data science assignment.

Q1. It was a technical + data science case study round. Interviewer asked me some technical questions based on machine learning and gave me one case study.
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Q1. Interviewer asked me some general behavioural questions and also gave me one case study to solve.
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Q1. Tell me about your self
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Q1. What is Debt market
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Q2. Difference between shares and bonds
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