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I applied via Campus Placement and was interviewed before Feb 2019. There were 3 interview rounds.
To choose optimum probability threshold from ROC, we need to balance between sensitivity and specificity.
Choose the threshold that maximizes the sum of sensitivity and specificity
Use Youden's J statistic to find the optimal threshold
Consider the cost of false positives and false negatives
Use cross-validation to evaluate the performance of different thresholds
To test time series trend break up, statistical tests like Augmented Dickey-Fuller test can be used.
Augmented Dickey-Fuller test can be used to check if a time series is stationary or not.
If the time series is not stationary, we can use differencing to make it stationary.
After differencing, we can again perform the Augmented Dickey-Fuller test to check for stationarity.
If there is a significant change in the mean or va...
Communicate transparently and offer alternative solutions.
Explain the limitations of the available data and the potential risks of making decisions based on incomplete information.
Offer alternative solutions that can be implemented with the available data.
Collaborate with the customer to identify additional data sources or explore other options to gather more data.
Provide regular updates on the progress of data collect...
I expect a supportive work environment, opportunities for growth, and clear communication.
Clear communication on project goals and expectations
Opportunities for professional development and growth
Supportive team environment
Regular feedback and performance evaluations
I applied via Referral and was interviewed in May 2024. There was 1 interview round.
I solved a problem by using machine learning algorithms to predict customer churn for a telecom company.
Identified relevant data sources such as customer demographics, usage patterns, and customer service interactions.
Preprocessed and cleaned the data to handle missing values and outliers.
Built and trained a machine learning model using algorithms like logistic regression and random forest.
Evaluated the model's perform...
I applied via Campus Placement and was interviewed before Jul 2023. There were 4 interview rounds.
Basic questions like stats, probability etc
Scenario based question
I applied via Referral and was interviewed in Nov 2024. There was 1 interview round.
Cancellation in the number of bookings in an app has increased exponentially in the past few weeks, How would you conduct an RCA on the same.
I applied via Job Portal and was interviewed before Mar 2023. There were 2 interview rounds.
Nothing tough. Basic case studies and problem solving.
I applied via LinkedIn and was interviewed before Sep 2023. There were 3 interview rounds.
It was moderate level sql question and one python question
It was more related to business side in last company
I applied via Referral and was interviewed in Sep 2024. There were 5 interview rounds.
1 python and 1 SQL coding along with ML questions mostly related to monitoring and basic ML
1 python code and also related to ML ...the recruiter came with a dataset to solve
Guestimates, project discussions and Case Studies
Project indepth discussion and case study related Fraud Detection
based on 7 reviews
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