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Joins are used to combine rows from two or more tables based on a related column between them.
Types of joins include inner join, left join, right join, and full outer join
Inner join returns rows when there is at least one match in both tables
Left join returns all rows from the left table and the matched rows from the right table
Right join returns all rows from the right table and the matched rows from the left table
Ful...
I applied via Recruitment Consulltant and was interviewed in Jul 2024. There was 1 interview round.
Customer_id with maximum consecutive purchases
Identify consecutive purchases for each customer
Track the maximum consecutive purchases and corresponding customer_id
Consider edge cases like ties or no consecutive purchases
Identify product_id with more than 10 returns in a month and 3 returns in a year.
Filter the dataset by returns in a month and returns in a year
Group the data by product_id and count the number of returns
Identify product_id with counts exceeding the thresholds
I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.
Pair Sum
1hr 45 mins
Estimate the number of cars passing through a busy intersection in a day
Estimate the average number of cars passing through the intersection per hour
Consider peak traffic hours and adjust the estimate accordingly
Factor in any special events or holidays that may affect traffic flow
I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.
It consisted verbal, logical , quant, 1 programming question & 1 guesstimate
Some english communication skills were tested
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I applied via Campus Placement and was interviewed in May 2024. There were 2 interview rounds.
Easy question was asked along with some aptitude questions.
Developed a predictive model for customer churn in a telecom company.
Collected and cleaned customer data including demographics, usage patterns, and customer service interactions.
Used machine learning algorithms such as logistic regression and random forest to predict customer churn.
Challenges faced included imbalanced dataset, feature selection, and model evaluation.
Implemented techniques like SMOTE for handling imbal...
I applied via campus placement at National Institute of Technology (NIT), Raipur and was interviewed in Sep 2023. There was 1 interview round.
Tredence YouTube recommendation system uses algorithms to suggest videos based on user preferences and behavior.
Tredence YouTube recommendation system uses machine learning algorithms to analyze user data such as watch history, likes, and dislikes.
It considers factors like video content, user demographics, and engagement metrics to recommend relevant videos.
For example, if a user frequently watches cooking videos, the ...
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Cut the cake into 3 equal parts using 2 straight cuts
Make the first cut horizontally through the middle of the cake
Make the second cut vertically through the middle of the cake, perpendicular to the first cut
Each slice will be a third of the cake
Use a set to find unique elements in an array of strings
Create a set from the array to automatically remove duplicates
Convert the set back to an array to get unique elements
Example: ['apple', 'banana', 'apple', 'orange'] -> ['apple', 'banana', 'orange']
I applied via Campus Placement
Some advanced coding questions on dp, strings
Was maths quants etc
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The duration of Tredence Data Analyst interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 17 interviews
2 Interview rounds
based on 15 reviews
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