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I applied via LinkedIn and was interviewed in Jul 2023. There were 5 interview rounds.
Basic apti questions related to excel ,sql and python
I was asked to do graph colouring in python
I was interviewed in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
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...
Was maths quants etc
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
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 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
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Interview experience
based on 1 review
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