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TD Bank Data Scientist Interview Questions and Answers
TD Bank Data Scientist Interview Experiences
1 interview found
Anonymous
How to build model to detect fraud
(2 Questions)
- Q1. Decision tree model
- Q2. Past project in details
- Ans.
Developed a predictive model for customer churn in a telecom company
Used machine learning algorithms like logistic regression and random forest
Analyzed customer data such as call duration, plan details, and customer complaints
Achieved 85% accuracy in predicting customer churn
Top trending discussions
Interview questions from similar companies
Anukriti Jain
Find second max in list, cal moving avg of a df
(1 Question)
- Q1. Explain about how recommendation engine work
- Ans.
Recommendation engines analyze user data to suggest items based on preferences and behavior.
Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.
They can also use content-based filtering to recommend items similar to ones the user has liked in the past.
Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.
Ex...
Skills evaluated in this interview
I applied via Campus Placement
It was okay as the interview was scheduled on time.
(1 Question)
- Q1. They asked questions in the interview Including Python, Machine learning, SQL, Power BI
Miles Morales
I applied via Campus Placement and was interviewed in Jan 2022. There were 3 interview rounds.
Coding related objective questions
(1 Question)
- Q1. Basic questions based on cv. Questions based on python,SQL,ML algorithms
Interview Preparation Tips
Find second max in list, cal moving avg of a df
(1 Question)
- Q1. Explain about how recommendation engine work
- Ans.
Recommendation engines analyze user data to suggest items based on preferences and behavior.
Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.
They can also use content-based filtering to recommend items similar to ones the user has liked in the past.
Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.
Ex...
Skills evaluated in this interview
I applied via Campus Placement
It was okay as the interview was scheduled on time.
(1 Question)
- Q1. They asked questions in the interview Including Python, Machine learning, SQL, Power BI
I applied via Campus Placement and was interviewed in Jan 2022. There were 3 interview rounds.
Coding related objective questions
(1 Question)
- Q1. Basic questions based on cv. Questions based on python,SQL,ML algorithms
Interview Preparation Tips
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