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I applied via Naukri.com and was interviewed in May 2021. There were 4 interview rounds.
Building pipeline involves identifying potential customers, nurturing relationships, and leveraging various channels to generate leads.
Identify target market and ideal customer profile
Develop a lead generation strategy using various channels such as email, social media, and events
Nurture relationships with prospects through regular communication and providing value
Track and analyze pipeline metrics to optimize performa...
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I appeared for an interview in Mar 2021.
My current project involves analyzing customer behavior on our e-commerce platform.
Collecting and cleaning data from various sources
Creating visualizations to identify patterns and trends
Using statistical models to make predictions and recommendations
Collaborating with cross-functional teams to implement changes
Tracking and measuring the impact of changes on customer behavior
Aptitude test was esay.i passed that
We have upload a vedio based on given topic
posted on 2 Nov 2022
I applied via Campus Placement and was interviewed in Oct 2022. There were 4 interview rounds.
Apti questions leval medium it was easy to go for round 2
I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 3 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Used logistic regression and decision tree algorithms for classification.
Performed feature engineering to extract relevant features from customer data.
Achieved an accuracy of 85% on the test set.
Provided actionable insights to the company to reduce customer churn.
Different performance metrics are used to measure the effectiveness of a model or system.
Accuracy
Precision
Recall
F1 Score
ROC Curve
AUC
Mean Squared Error
Root Mean Squared Error
R-squared
Bagging and boosting are ensemble learning techniques. XgBoost is a gradient boosting algorithm.
Bagging involves training multiple models on different subsets of the data and combining their predictions.
Boosting involves training models sequentially, with each model trying to correct the errors of the previous model.
XgBoost is an optimized implementation of gradient boosting that uses a combination of tree-based models...
I applied via Campus Placement
Easy to moderate level aptitude test
data interpretation, analytics, python, etc were asked
The impact of social media on society
Social media has revolutionized communication and connectivity
It has transformed the way people interact and share information
Social media has both positive and negative effects on society
Examples include the spread of fake news, cyberbullying, and online activism
It has also facilitated business growth and marketing strategies
I applied via Campus Placement and was interviewed before Nov 2023. There were 3 interview rounds.
Mathematical and pseudo code
posted on 22 Jan 2025
Keeping up with rapidly evolving technologies and frameworks.
Constantly learning new technologies and frameworks to stay relevant
Adapting to changing industry trends and best practices
Balancing the need to innovate with the need for stability and reliability
I appeared for an interview in Jan 2025.
Basic aptitude test with around 20-25 questions
A video assignment on a given topic
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